R markdown test
BVD
9/18/2018
First we need to build the HLM models in R (done) Then do the AIC testing (not possible. We’ll do a simple variance explained argument) Then do assumption checking Then build descriptives for gain aggregated and disagregated and add the means to the descriptives table
Load stuff (There are some packages that we don’t need here, but I didn’t clean them up. Sorry.)
#load("~/Box Sync/work/Research/R stuff/hmiout40") #Ben's computer
load("~/Documents/LASSO Data/Old/hmiout40")
library(tidyr)
library("ggplot2")
library(gvlma)
library("HLMdiag")
library("DHARMa")
library("car") #for the Levene test which we will not discuss here
library("Matrix")
library(mitools)
library(stargazer)
library(lme4)
library(nlme)
library(mice)
library(mitml)
library(multcomp)
library(foreach)
library(ggplot2)
library(stringr)
library(dplyr) #I load dplyr last because some of its functions (select) will be masked by plyr and it is a PITA to debugCreating mitml and extra variables
MIdata<-mids2mitml.list(hmi.out40) #converts file type
thing <- list()
for (i in 1:10){
temp <- MIdata[[i]]
class_means <- temp %>% group_by(crse_id) %>% summarise(pre_mean_class = mean(pre_scor))
class_means$class_pre_cent <- mean(class_means$pre_mean_class) - class_means$pre_mean_class
temp <- left_join(temp,class_means, by="crse_id")
temp$stud_pre_cent <- temp$pre_mean_class - temp$pre_scor
temp$stud_pre_grand <- temp$pre_scor-mean(temp$pre_scor)
temp$gain <- temp$pst_scor - temp$pre_scor
temp$collabnla <- ifelse(temp$colablrn==1,ifelse(temp$used_las==0,1,0),0)
temp$coll <- temp$collabnla + temp$used_las
#assign(df.names[i], temp)
thing[[i]] <- temp
}
MIdata <- as.mitml.list(thing)Calculating the descriptive statistics
student_means <- foreach(i=1:10, .combine=rbind) %do% {
temp <- MIdata[[i]]
temp$instruction <- ifelse(temp$used_las==1,"Used_LAs",ifelse(temp$collabnla==1,"Collab_No_LA","Lecture"))
student_means <- temp %>% group_by(instruction) %>% summarise(mean_gain = mean(gain))
return <- student_means
}
"Used_LAs"## [1] "Used_LAs"mean(student_means$mean_gain[student_means$instruction=="Used_LAs"])## [1] 19.27524"Collab_No_LA"## [1] "Collab_No_LA"mean(student_means$mean_gain[student_means$instruction=="Collab_No_LA"])## [1] 24.999"Lecture"## [1] "Lecture"mean(student_means$mean_gain[student_means$instruction=="Lecture"])## [1] 12.00881"All"## [1] "All"mean(student_means$mean_gain)## [1] 18.76102class_means <- foreach(i=1:10, .combine=rbind) %do% {
temp <- MIdata[[i]]
temp$instruction <- ifelse(temp$used_las==1,"Used_LAs",ifelse(temp$collabnla==1,"Collab_No_LA","Lecture"))
class_means <- temp %>% group_by(crse_id) %>% summarise(gain = mean(gain))
class_means <- left_join(class_means,unique(temp[c(13,50)]), by = "crse_id")
class_means <- class_means %>% group_by(instruction) %>% summarise(gain = mean(gain))
return <- class_means
}
"Used_LAs"## [1] "Used_LAs"mean(class_means$gain[class_means$instruction=="Used_LAs"])## [1] 19.45648"Collab_No_LA"## [1] "Collab_No_LA"mean(class_means$gain[class_means$instruction=="Collab_No_LA"])## [1] 15.36021"Lecture"## [1] "Lecture"mean(class_means$gain[class_means$instruction=="Lecture"])## [1] 14.17819 "All"## [1] "All" mean(class_means$gain)## [1] 16.33163inst_means <- foreach(i=1:10, .combine=rbind) %do% {
temp <- MIdata[[i]]
class_means <- temp %>% group_by(crse_id) %>% summarise(gain = mean(gain))
class_means <- left_join(class_means,unique(temp[c(13,14)]), by = "crse_id")
class_means <- class_means %>% group_by(FMCE) %>% summarise(gain = mean(gain))
return <- class_means
}
"FCI"## [1] "FCI"mean(inst_means$gain[inst_means$FMCE==0])## [1] 17.48376"FMCE"## [1] "FMCE"mean(inst_means$gain[inst_means$FMCE==1])## [1] 19.12894 inst_means_stu <- foreach(i=1:10, .combine=rbind) %do% {
temp <- MIdata[[i]]
class_means <- temp %>% group_by(FMCE) %>% summarise(gain = mean(gain))
return <- class_means
}
"FCI"## [1] "FCI"mean(inst_means_stu$gain[inst_means_stu$FMCE==0])## [1] 19.40524"FMCE"## [1] "FMCE"mean(inst_means_stu$gain[inst_means_stu$FMCE==1])## [1] 19.18769Models (Note, we can’t actually use these since they don’t work with the with function)
mod1 <- (gain~1 + (1|crse_id))
mod2 <- (gain~1 + used_las + collabnla + (1|crse_id))
mod3 <- (gain~1 + stud_pre_cent+ used_las + collabnla + (1|crse_id))
mod4 <- (gain~1 + stud_pre_cent+ used_las + collabnla + (1+ stud_pre_cent|crse_id))
mod5 <- (gain~1 + stud_pre_cent+ used_las + collabnla + class_pre_cent + (1|crse_id))
mod6 <- (gain~1 + stud_pre_cent+ used_las + collabnla + class_pre_cent + (1+ stud_pre_cent|crse_id))
mod7 <- (gain~1 + stud_pre_cent+ used_las + collabnla + FMCE + (1|crse_id))
mod8 <- (gain~1 + stud_pre_cent+ used_las + collabnla + fst_time + (1|crse_id))Run HLM models
HLM1<-with(MIdata,{lmer(gain~1 + (1|crse_id))})
HLM1.1<-with(MIdata,{lmer(gain~1 + stud_pre_cent + (1|crse_id))})
HLM1.2<-with(MIdata,{lmer(gain~1 + stud_pre_cent + class_pre_cent + (1|crse_id))})
HLM2<-with(MIdata,{lmer(gain~1 + used_las + collabnla + (1|crse_id))})
HLM3<-with(MIdata,{lmer(gain~1 + stud_pre_cent+ used_las + collabnla + (1|crse_id))})
HLM4<-with(MIdata,{lmer(gain~1 + stud_pre_cent+ used_las + collabnla + (1+ stud_pre_cent|crse_id))})
HLM5<-with(MIdata,{lmer(gain~1 + stud_pre_cent+ used_las + collabnla + class_pre_cent + (1|crse_id))})
HLM6<-with(MIdata,{lmer(gain~1 + stud_pre_cent+ used_las + collabnla + class_pre_cent + (1+ stud_pre_cent|crse_id))})
HLM7 <- with(MIdata,{lmer(gain~1 + stud_pre_cent+ used_las + collabnla + FMCE + (1|crse_id))})
HLM8 <- with(MIdata,{lmer(gain~1 + stud_pre_cent+ used_las + collabnla + fst_time + (1|crse_id))})Run MLR models
MLR1<-with(MIdata,{lm(gain~1)})
MLR2<-with(MIdata,{lm(gain~1 + used_las + collabnla)})
MLR3<-with(MIdata,{lm(gain~1 + stud_pre_cent+ used_las + collabnla)})
MLR4<-with(MIdata,{lm(gain~1 + stud_pre_cent+ used_las + collabnla)})
MLR5<-with(MIdata,{lm(gain~1 + stud_pre_cent+ used_las + collabnla + class_pre_cent)})
MLR6<-with(MIdata,{lm(gain~1 + stud_pre_cent+ used_las + collabnla + class_pre_cent)})HLM Model outputs
testEstimates(HLM1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 18.284 0.872 20.977 669.237 0.000 0.131 0.119
##
## Estimate
## Intercept~~Intercept|crse_id 60.620
## Residual~~Residual 409.799
## ICC|crse_id 0.129
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.696 2.131 6.428 891.880 0.000 0.112 0.102
## used_las 6.014 2.352 2.557 1215.587 0.011 0.094 0.088
## collabnla 3.512 3.008 1.168 269.731 0.244 0.223 0.189
##
## Estimate
## Intercept~~Intercept|crse_id 56.570
## Residual~~Residual 409.830
## ICC|crse_id 0.121
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM3, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM3, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.760 2.144 6.419 812.980 0.000 0.118 0.107
## stud_pre_cent 0.440 0.023 18.844 19.165 0.000 2.177 0.714
## used_las 5.936 2.363 2.512 1160.173 0.012 0.097 0.090
## collabnla 3.256 3.023 1.077 247.880 0.283 0.235 0.197
##
## Estimate
## Intercept~~Intercept|crse_id 58.827
## Residual~~Residual 343.497
## ICC|crse_id 0.146
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM4, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM4, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.347 2.052 6.505 1402.786 0.000 0.087 0.081
## stud_pre_cent 0.426 0.025 16.833 33.212 0.000 1.086 0.547
## used_las 6.662 2.289 2.911 951.492 0.004 0.108 0.099
## collabnla 2.952 2.951 1.001 201.219 0.318 0.268 0.219
##
## Estimate
## Intercept~~Intercept|crse_id 58.825
## Intercept~~stud_pre_cent|crse_id 0.437
## stud_pre_cent~~stud_pre_cent|crse_id 0.009
## Residual~~Residual 340.331
## ICC|crse_id 0.147
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM5, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM5, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.659 2.209 6.184 1545.906 0.000 0.083 0.077
## stud_pre_cent 0.440 0.023 18.844 19.165 0.000 2.177 0.714
## used_las 6.036 2.445 2.469 1426.050 0.014 0.086 0.081
## collabnla 3.388 3.135 1.081 306.195 0.281 0.207 0.177
## class_pre_cent 0.015 0.098 0.158 337.055 0.874 0.195 0.168
##
## Estimate
## Intercept~~Intercept|crse_id 59.394
## Residual~~Residual 343.494
## ICC|crse_id 0.147
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM6, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM6, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 12.932 2.122 6.093 2448.080 0.000 0.065 0.061
## stud_pre_cent 0.426 0.025 16.876 33.600 0.000 1.073 0.544
## used_las 7.091 2.405 2.948 636.817 0.003 0.135 0.122
## collabnla 3.493 3.032 1.152 279.923 0.250 0.218 0.185
## class_pre_cent 0.060 0.096 0.623 218.282 0.534 0.255 0.210
##
## Estimate
## Intercept~~Intercept|crse_id 59.644
## Intercept~~stud_pre_cent|crse_id 0.455
## stud_pre_cent~~stud_pre_cent|crse_id 0.009
## Residual~~Residual 340.323
## ICC|crse_id 0.149
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM7, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM7, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.715 2.160 6.349 769.754 0.000 0.121 0.110
## stud_pre_cent 0.440 0.023 18.844 19.165 0.000 2.177 0.714
## used_las 5.789 2.398 2.414 1269.656 0.016 0.092 0.086
## collabnla 3.194 3.031 1.054 259.469 0.293 0.229 0.192
## FMCE 0.821 2.153 0.381 4056.408 0.703 0.049 0.048
##
## Estimate
## Intercept~~Intercept|crse_id 59.400
## Residual~~Residual 343.493
## ICC|crse_id 0.147
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM8, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM8, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 10.995 2.169 5.069 943.235 0.000 0.108 0.100
## stud_pre_cent 0.436 0.023 18.717 19.150 0.000 2.180 0.714
## used_las 5.172 2.351 2.200 944.587 0.028 0.108 0.100
## collabnla 2.467 3.007 0.820 227.714 0.413 0.248 0.206
## fst_time 4.244 0.892 4.756 88.991 0.000 0.466 0.333
##
## Estimate
## Intercept~~Intercept|crse_id 57.251
## Residual~~Residual 341.744
## ICC|crse_id 0.143
##
## Unadjusted hypothesis test as appropriate in larger samples.MLR Model outputs
testEstimates(MLR1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = MLR1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 19.337 0.343 56.366 81.196 0.000 0.499 0.349
##
## Estimate
## Residual~~Residual 467.805
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(MLR2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = MLR2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 12.009 0.993 12.089 51.731 0.000 0.716 0.438
## used_las 7.266 1.063 6.836 58.355 0.000 0.647 0.413
## collabnla 12.990 1.340 9.694 45.976 0.000 0.794 0.465
##
## Estimate
## Residual~~Residual 454.978
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(MLR3, var.comp=TRUE)##
## Call:
##
## testEstimates(model = MLR3, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 12.009 0.951 12.627 43.459 0.000 0.835 0.479
## stud_pre_cent 0.440 0.024 18.456 20.828 0.000 1.918 0.686
## used_las 7.266 1.016 7.154 48.651 0.000 0.755 0.452
## collabnla 12.990 1.285 10.106 38.930 0.000 0.926 0.506
##
## Estimate
## Residual~~Residual 389.853
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(MLR4, var.comp=TRUE)##
## Call:
##
## testEstimates(model = MLR4, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 12.009 0.951 12.627 43.459 0.000 0.835 0.479
## stud_pre_cent 0.440 0.024 18.456 20.828 0.000 1.918 0.686
## used_las 7.266 1.016 7.154 48.651 0.000 0.755 0.452
## collabnla 12.990 1.285 10.106 38.930 0.000 0.926 0.506
##
## Estimate
## Residual~~Residual 389.853
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(MLR5, var.comp=TRUE)##
## Call:
##
## testEstimates(model = MLR5, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 12.392 1.014 12.226 41.175 0.000 0.878 0.492
## stud_pre_cent 0.440 0.024 18.457 20.823 0.000 1.919 0.686
## used_las 6.915 1.077 6.421 43.681 0.000 0.831 0.477
## collabnla 12.427 1.408 8.827 34.829 0.000 1.034 0.534
## class_pre_cent -0.050 0.035 -1.435 160.813 0.153 0.310 0.246
##
## Estimate
## Residual~~Residual 389.726
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(MLR6, var.comp=TRUE)##
## Call:
##
## testEstimates(model = MLR6, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 12.392 1.014 12.226 41.175 0.000 0.878 0.492
## stud_pre_cent 0.440 0.024 18.457 20.823 0.000 1.919 0.686
## used_las 6.915 1.077 6.421 43.681 0.000 0.831 0.477
## collabnla 12.427 1.408 8.827 34.829 0.000 1.034 0.534
## class_pre_cent -0.050 0.035 -1.435 160.813 0.153 0.310 0.246
##
## Estimate
## Residual~~Residual 389.726
##
## Unadjusted hypothesis test as appropriate in larger samples.Assumption checking as recommended here: https://ademos.people.uic.edu/Chapter18.html Note: I think we may just need to do this for each of the 10 datasets independently.
for (i in 1:10) {
D1 <- lmer(mod3,data=MIdata[[i]])
print(plot(D1, xlab="Fitted Value", ylab="Residual Variance"))
}
for (i in 1:10) {
D1 <- lmer(mod3,data=MIdata[[i]])
#visual homogeneity of variance
MIdata[[i]]$Model.F.Res <- residuals(D1) #extracts the residuals and places them in a new column in our original data table
MIdata[[i]]$Abs.Model.F.Res <-abs(MIdata[[1]]$Model.F.Res) #creates a new column with the absolute value of the residuals
print(boxplot(MIdata[[i]]$Model.F.Res ~ MIdata[[i]]$crse_id), xlab = "Course", ylab = "Residuals" )
}
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -46.626554 -43.396099 -33.36069090 -21.969755 -28.883951 -21.717970
## [2,] -13.520209 -16.237893 -8.52206222 -14.101199 -3.042342 -11.276046
## [3,] -1.573926 1.948848 0.08743497 -6.020259 6.624863 -7.308162
## [4,] 14.627506 17.648130 8.13088313 6.961936 14.904044 14.096205
## [5,] 55.179459 36.285938 21.93974961 36.666446 26.234585 40.110791
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -31.857444 -8.892331 -42.181440 -40.0885979 -26.6327687 -42.26774
## [2,] -13.655341 -6.389056 -11.048939 -15.9526662 -15.5697580 -11.86983
## [3,] -2.073521 -4.542794 2.661469 -0.6394002 0.2183416 2.57054
## [4,] 13.421639 -2.572436 11.309141 13.8285954 12.2217939 13.14444
## [5,] 27.506707 -2.572436 42.573088 43.9801944 18.2664497 40.92921
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -42.559275 -39.293224 -32.165401 -22.512412 -34.247775 -35.844352138
## [2,] -10.024324 -8.474646 -8.716382 -7.901208 -14.165349 -14.692055349
## [3,] 1.422061 3.161244 4.060702 2.649683 -5.595163 0.009651716
## [4,] 12.031453 12.436845 15.241085 7.781019 2.648998 13.608987251
## [5,] 37.336445 40.380257 30.519554 17.928337 27.767054 31.397849738
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -26.424563 -30.100529 -24.827803 -8.748752 -42.7566919 -40.909356
## [2,] -16.128861 -15.034273 -17.570945 -3.147701 -14.6240408 -12.547129
## [3,] -7.026092 -6.511989 -3.647421 1.134874 -0.8115566 2.116302
## [4,] -2.674471 12.196615 10.200372 5.324401 14.0868299 13.726306
## [5,] 9.610885 43.476429 21.727449 17.139676 32.5217768 49.859444
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -43.883248 -26.872969 -52.238275 -28.406176 -19.902530 -26.672924
## [2,] -12.727889 -6.955277 -15.279503 -8.256906 -8.238086 -7.911494
## [3,] 4.319961 -2.390544 3.869433 2.194991 3.810957 -1.465109
## [4,] 17.192103 9.080970 12.587000 11.107540 12.572387 6.018462
## [5,] 36.856481 22.604159 41.413869 36.431729 18.856678 21.822504
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -37.270857 -28.624540 -35.9660908 -33.410471 -24.9617863 -8.403255
## [2,] -22.075291 -12.528352 -8.7058514 -14.767647 -13.0443015 -8.403255
## [3,] -3.682146 -3.177811 0.6281689 -1.226499 -6.8971571 -8.208694
## [4,] 13.227708 3.011335 10.3763866 9.421880 -0.9207281 -8.014134
## [5,] 57.858280 23.327566 34.3580984 37.917308 -0.2996140 -8.014134
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -31.788802 -35.8805053 -26.017221 -39.42191453 -49.138826 -29.157211
## [2,] -31.788802 -7.3647122 -10.250248 -9.68431176 -14.359562 -10.154358
## [3,] -16.444698 -0.4807583 -2.955112 0.04608107 1.068337 -5.380110
## [4,] -1.100594 14.0626148 6.720699 10.47417788 11.982916 7.339124
## [5,] -1.100594 33.8708632 20.577891 34.55979724 40.744184 18.424869
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -39.684356 -30.919936 -46.7859023 -30.150428 -29.142735 -24.8496443
## [2,] -15.823320 -13.513450 -16.5020183 -12.083097 -13.924395 -8.6424592
## [3,] -2.792950 -6.637725 -0.7600222 1.678333 -3.597413 -0.4712205
## [4,] 7.858985 13.224712 10.4524598 9.201194 11.402587 8.1500511
## [5,] 25.151988 42.315088 36.6281539 30.409801 36.704288 32.1433677
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -26.868973 -27.3884471 -34.694260 -25.203893 -35.172903 -28.32820
## [2,] -11.837412 -7.0642579 -10.755183 -10.365987 -7.306399 -11.83751
## [3,] -2.103414 -0.6178729 -1.739826 -5.528082 3.027089 3.28280
## [4,] 10.315539 11.2345725 14.810467 11.406547 13.519198 11.62511
## [5,] 29.792948 31.1069808 28.908552 28.777819 29.824179 35.75918
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -37.008193 -30.268685 -21.342626 -57.37577 -42.4161435 -37.2675414
## [2,] -17.685391 -7.357643 -3.984895 -17.25939 -12.5563153 -13.0151294
## [3,] 1.420402 1.993979 13.930423 -3.27768 -0.5197389 0.1998605
## [4,] 13.083711 12.318168 21.642951 15.21775 8.6766653 10.8404138
## [5,] 42.019702 31.022026 36.345354 55.21775 36.4711170 36.8967705
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] 1.419309 -17.9261291 -20.269998 -41.825387 -46.1236186 -29.273815
## [2,] 8.490438 -10.6036640 -11.566755 -17.941359 -11.0190234 -7.511820
## [3,] 15.561567 -0.5071764 0.719256 -4.549503 0.3513302 -0.305641
## [4,] 17.091123 9.9980510 7.252863 13.623153 13.8442773 12.447076
## [5,] 18.620680 32.1535702 31.558764 46.514326 38.9273157 42.111608
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -41.6935416 -26.3520979 -38.311558 -25.925445 -37.653727 -20.153846
## [2,] -12.5102652 -9.5873401 -11.215698 -10.399791 -9.871532 -11.961448
## [3,] -0.8301939 -0.7677229 -1.769326 -1.255984 -1.152704 -1.010039
## [4,] 14.5538379 6.2231330 11.127418 6.915254 9.071519 9.139589
## [5,] 36.8064607 29.4383008 36.138227 29.018491 29.258860 26.714253
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -27.952161 -29.72295 -29.706559 -26.893885 -37.997025 -34.755194
## [2,] -9.332629 -11.95539 -19.174555 -12.736553 -14.356589 -15.270747
## [3,] -1.335305 -3.84214 2.213643 -3.561891 -3.752743 -7.988033
## [4,] 6.438526 11.46939 13.167808 6.438109 9.790961 20.129432
## [5,] 25.388903 35.67280 39.401815 33.960969 45.391064 38.057338
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -38.9365605 -39.772429 -33.9692047 -36.282706 -51.75386 -34.4734284
## [2,] -10.7020574 -11.718850 -9.2352069 -12.551399 -12.69512 -9.6355230
## [3,] 0.3140579 -3.060842 0.3366963 -3.199777 -1.09275 0.8964814
## [4,] 12.5986738 14.428602 12.8595565 10.989750 15.93255 17.2389589
## [5,] 40.1541363 40.258898 23.0216512 46.268218 46.44868 41.2955901
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -33.7366598 -49.762474 -39.036757 -34.826853 -38.306507 -17.685949
## [2,] -13.5745652 -11.310026 -11.206999 -18.555131 -12.329683 -8.600330
## [3,] 0.4528671 3.151824 -1.189708 1.292147 2.225497 -6.181377
## [4,] 13.1378220 14.694114 10.272886 13.262224 12.283684 2.314051
## [5,] 39.9208627 38.379580 37.269484 44.661961 35.060574 17.893954
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -47.189471 -34.337573 -35.1600525 -18.073295 -35.339907641 -33.187922
## [2,] -13.155681 -16.539882 -14.6695529 -13.686154 -9.837521665 -11.513578
## [3,] 2.131844 -2.558049 0.6538721 -6.524558 0.004955097 -2.183469
## [4,] 14.159364 11.307168 9.5157582 3.755466 7.552862433 17.284527
## [5,] 34.691369 49.802596 37.8490916 18.874537 31.858763429 47.608716
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -38.6194230 -21.691743 -32.2820470 -31.546337 -38.0651415 -24.985920
## [2,] -13.4573284 -12.975173 -8.4070609 -16.058832 -12.2998687 -12.575071
## [3,] 0.4080093 -4.994653 0.4029079 -5.081117 -0.3780761 -5.584215
## [4,] 6.2575722 7.214648 9.2225251 10.718356 12.3703124 9.577879
## [5,] 29.8210431 37.358757 33.9187294 50.394167 38.0825015 30.708081
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -10.65423 -37.317623 -40.27863 -34.805996 -39.651942 -59.628197
## [2,] -10.65423 -11.145389 -10.39500 -14.208555 -13.334119 -17.107621
## [3,] -10.65423 -2.974150 2.52270 -3.503933 -2.396116 -0.574484
## [4,] -10.65423 9.635768 12.93833 10.909502 11.783937 17.258595
## [5,] -10.65423 36.053283 44.35146 36.987923 41.549667 53.651652
## [,109] [,110] [,111] [,112]
## [1,] -61.4367683 -32.963608 -29.020863 -44.5982572
## [2,] -15.6931455 -13.788579 -12.620374 -16.2935775
## [3,] -0.2574137 -1.459036 -0.533571 -0.6104715
## [4,] 17.3098087 15.648194 10.104727 14.6529937
## [5,] 50.9938856 32.963239 32.888194 54.2295824
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -4.506415 -3.892836 -6.490478 -13.46184 -1.23948 -17.330201
## [2,] 1.358562 7.790532 6.665348 1.42132 14.48921 2.713878
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -13.939010 -7.239609 -0.2325302 -7.228333 -10.75932 -2.222273
## [2,] 9.791968 -1.845980 5.5554688 5.949533 11.19600 7.363353
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -0.7775337 1.063192 -2.968386 -1.800563 -10.4455513 -9.117892
## [2,] 3.6216549 5.259296 11.089790 7.099928 -0.7447754 9.137195
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -12.514868 -15.68491 -20.23200 -2.321356 -8.708272 -4.141871
## [2,] -1.537317 2.66093 12.93716 4.591103 7.085159 8.374476
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -3.348827 -7.792469 -3.006754 -2.417503 -3.045111 -5.133330
## [2,] 11.988750 3.011380 10.745619 6.807485 10.667025 2.203113
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -13.700304 -7.902981 -4.876431 -7.509738 -12.672681 -8.643431
## [2,] 6.336011 1.547360 6.132769 5.056741 -1.121633 -7.773957
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -50.73045 -7.391417 -8.806428 -3.349184 -2.699862 -11.721092
## [2,] 17.84105 6.429901 2.896203 3.441347 4.836536 0.960872
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -9.624518 -13.9918617 -8.288601 -5.333835 -9.146721 -3.419239
## [2,] 4.038619 0.7164107 6.768557 8.690502 1.951895 2.476798
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -7.637663 -5.576266 -8.207999 -11.10859702 -2.241839 -2.506708
## [2,] 3.430835 4.340520 4.728347 0.05243291 8.296016 9.072309
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -6.917032 -1.548802 -1.374113 -13.540456 -5.466138 -5.240476
## [2,] 9.757837 5.536760 29.234959 6.985096 4.426660 5.640197
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] 7.715906 -9.903757 -6.289350 -13.231092 -2.866942 -5.880304
## [2,] 23.407228 8.889404 7.727862 4.132085 3.569602 5.269022
## [,67] [,68] [,69] [,70] [,71] [,72] [,73]
## [1,] -7.428403 -3.614520 -5.490497 -4.295737 -5.117032 -7.961834 -5.049924
## [2,] 5.768015 2.079075 1.951844 1.783768 2.811623 5.941756 2.379315
## [,74] [,75] [,76] [,77] [,78] [,79]
## [1,] -10.59942 -10.18015 -7.981012 -10.201799 -20.193458 -3.854438
## [2,] 2.91514 14.60744 0.857230 2.696313 4.217391 4.482553
## [,80] [,81] [,82] [,83] [,84] [,85]
## [1,] -8.070776 -4.755411 -8.744483 -8.072157 -7.595855 -5.638982
## [2,] 1.949092 5.428803 2.344928 5.886657 9.388818 6.544717
## [,86] [,87] [,88] [,89] [,90] [,91]
## [1,] 0.0006301753 -6.140105 -6.656462 -4.001746 -9.096267 -4.869271
## [2,] 6.3030179362 3.760690 9.240757 8.452740 -3.266487 9.132959
## [,92] [,93] [,94] [,95] [,96] [,97]
## [1,] -9.791331 -6.700183 -16.267698 -2.503323 -10.10418 -4.579909
## [2,] 4.675234 8.007927 3.218581 2.513233 5.73724 5.395928
## [,98] [,99] [,100] [,101] [,102] [,103]
## [1,] -14.20337 -2.108670 -11.319084 -7.268635 -11.3384531 -10.65423
## [2,] 4.21406 2.914486 1.156851 6.512483 0.1700224 -10.65423
## [,104] [,105] [,106] [,107] [,108] [,109]
## [1,] -6.9269263 -2.197592 -7.3586291 -4.6009232 -3.683614 -5.206767
## [2,] 0.9786267 7.242993 0.3507638 -0.1913089 2.534646 4.691939
## [,110] [,111] [,112]
## [1,] -9.105250 -8.188683 -5.315451
## [2,] 6.187177 7.121541 4.094508
##
## $out
## [1] 43.35023 20.62217 -81.61720 -45.28892 48.18595 -46.95699 -43.86278
## [8] -56.50827 -42.23121 -40.40180 -53.24530 -42.18599 44.07973 -48.46708
## [15] -46.51414 -48.82447 -44.01476 35.87725 35.65883 -52.26692 32.22930
## [22] 41.90724 46.91599 69.64057 -23.47768 61.01720 40.50768 -38.25203
## [29] -39.82312 46.13059 40.31790 -37.61457 66.84112 43.02301 41.34895
## [36] 46.08855 17.75525 21.62059 39.72984 34.89194 43.40853 48.50736
## [43] -38.48917 38.55621 -38.14054 -36.20058 -40.18978 -38.36101 57.19870
## [50] -47.98755 -40.17571 52.09177 -52.62743 53.42180 33.24104 -39.57326
## [57] 59.16560 33.55384 -38.48184 -54.32147 30.99156 38.97455 -56.99149
## [64] -54.03037 48.42117 -65.06394 -50.70330 24.67482 37.80033 -32.73530
## [71] 46.01526 -47.45532 -39.38558 40.67838 -38.14124 40.95347 44.18191
## [78] -40.70771 -34.92861 50.35219 59.21378 -69.73165 54.48010 -52.11548
## [85] -54.90872 63.69304 61.79909 68.83895 -54.96996 55.84400 55.84400
##
## $group
## [1] 3 8 9 9 9 13 13 14 14 14 14 14 14 14 14 14 14
## [18] 16 16 16 17 17 17 19 22 23 26 26 29 30 30 32 32 32
## [35] 33 34 35 35 39 39 40 43 48 48 48 48 50 50 52 53 56
## [52] 65 65 68 68 68 70 70 70 73 73 76 81 82 82 86 86 90
## [69] 90 90 90 94 95 95 95 95 97 99 99 99 100 101 101 105 105
## [86] 107 107 107 107 107 107
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -45.691977 -41.0858813 -20.252348 -27.700243 -15.154509 -21.177193
## [2,] -13.527528 -14.5322277 -10.015755 -17.178699 -8.227087 -10.927071
## [3,] -1.169404 -0.0777659 -3.450004 -4.505999 -1.170727 -5.926246
## [4,] 12.312663 16.3715115 3.623988 11.275797 9.452587 14.869563
## [5,] 47.094883 36.4309821 9.100288 33.142198 35.085012 40.785866
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -26.465156 -10.324073 -36.754741 -38.6876348 -34.067382 -33.711069
## [2,] -17.212440 -9.654698 -9.400722 -12.9074557 -18.570017 -8.446475
## [3,] 1.160567 -3.847626 1.526856 -0.2426152 1.634022 1.979811
## [4,] 11.152251 8.069651 10.362382 13.8875417 13.220539 14.011838
## [5,] 29.762984 15.235619 39.417551 32.1285221 38.102958 30.648602
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -33.293373 -37.341830 -30.590587 -27.8083760 -36.744135 -35.554617
## [2,] -7.972197 -7.845016 -12.553646 -7.5409657 -16.525858 -15.168963
## [3,] 1.510902 4.176251 3.889648 0.5272927 -5.084206 -2.207828
## [4,] 9.159098 11.833741 15.852707 7.0824899 21.133166 11.845015
## [5,] 33.289255 32.191854 31.557177 20.3457591 40.282102 44.959693
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -26.16146 -28.270556 -21.309987 -10.546906 -44.4397365 -35.575324
## [2,] -17.99430 -13.991107 -18.039597 -3.933998 -14.2163640 -9.676759
## [3,] -13.63572 -6.918341 -9.939713 -1.389777 -0.8830307 2.658708
## [4,] 3.46716 9.481684 5.892376 3.333164 15.3755576 12.962048
## [5,] 27.80965 31.974663 19.467503 7.820041 51.9123202 32.276911
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -29.739220 -45.2484884 -35.8653936 -26.561069 -17.041896 -28.814805
## [2,] -8.993484 -14.9659110 -15.6389631 -12.461420 -6.745504 -7.104216
## [3,] -1.099006 0.1137525 -0.7453461 3.610635 5.105869 3.570824
## [4,] 15.030947 9.5264982 15.7549793 12.016988 10.883359 8.929080
## [5,] 34.933201 33.3869808 44.6922509 39.148834 22.399079 26.760877
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -31.781245 -29.915602 -34.937359 -31.152441 -28.603701 -26.494137
## [2,] -19.700745 -10.518531 -10.233751 -16.225461 -19.787929 -26.494137
## [3,] -7.467195 -5.258331 1.432916 -2.299343 -5.800774 -18.151606
## [4,] 8.231393 12.120157 16.248210 9.255637 11.404537 -9.809074
## [5,] 49.187716 34.032082 42.914877 45.922304 33.656326 -9.809074
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -57.001543 -24.914682 -20.526702 -30.9223489 -48.340969 -20.66644
## [2,] -57.001543 -9.243757 -8.044708 -9.2750155 -12.599681 -11.48615
## [3,] -27.882780 3.461279 -2.340237 -0.7119329 -1.311697 -1.75078
## [4,] 1.235983 11.391157 1.951006 9.5329644 13.882280 4.33053
## [5,] 1.235983 39.717839 11.547214 35.3561573 43.434745 21.42734
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -47.426714 -33.389792 -44.654973 -29.132079 -33.700218 -31.847318
## [2,] -16.031842 -11.703626 -12.254318 -10.594707 -9.008298 -9.885426
## [3,] -2.029511 -5.681429 1.579124 1.645411 -1.042152 -2.796003
## [4,] 10.025901 7.417973 13.673816 8.219724 7.615828 8.929006
## [5,] 48.470920 24.677424 33.618843 23.423764 26.438992 36.373163
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -36.6593963 -40.240341 -31.8684828 -27.991512 -32.853222 -31.570084
## [2,] -12.6522231 -11.833988 -8.9238946 -9.227135 -5.630969 -11.095545
## [3,] -0.7815172 1.735207 -0.9062867 -3.002750 1.400445 2.787135
## [4,] 11.3662475 10.537149 10.2086817 9.402590 13.156240 14.388464
## [5,] 24.4031887 32.130796 29.3418002 29.995375 32.229582 37.458920
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -29.572213 -37.8396044 -19.029817 -28.719279 -34.8924269 -45.1010917
## [2,] -17.025729 -9.2245848 -17.955699 -15.794024 -10.7816034 -13.0395647
## [3,] -0.480877 -0.3313283 3.282823 -2.052612 0.3034766 0.8037111
## [4,] 12.750898 12.2952322 6.324332 13.243780 6.6625535 13.3011076
## [5,] 45.530114 37.8679470 22.952711 54.323500 29.6264751 31.9159023
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -28.718717 -22.165686 -19.732764 -33.649104 -39.541993 -23.881044
## [2,] -17.770646 -13.569788 -12.103902 -13.956414 -11.405304 -9.992580
## [3,] -6.822575 1.769090 2.769823 -2.694164 1.750305 1.333668
## [4,] -2.325858 7.872343 8.225898 13.061979 13.614613 10.526026
## [5,] 2.170859 23.321572 32.230294 41.315252 37.943807 29.306708
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -30.55967 -28.896442 -32.524048 -27.885999 -27.151557 -21.806688
## [2,] -11.64477 -9.550632 -10.317432 -10.712469 -11.881788 -12.676531
## [3,] -2.77050 -1.701827 -1.687706 0.473100 -3.067357 2.119430
## [4,] 12.19248 7.297310 8.905078 7.732551 9.488486 7.785233
## [5,] 43.29916 30.731660 36.655563 29.422868 39.966721 26.936352
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -24.793670 -27.137831 -24.730254 -19.195786 -32.3723293 -26.308868
## [2,] -9.312572 -11.841439 -15.138332 -10.801643 -15.7940344 -15.149724
## [3,] -2.053121 -2.084781 -7.696179 -4.105424 -0.5783387 -7.917934
## [4,] 8.514449 12.236988 14.577945 5.272239 12.9396245 6.862896
## [5,] 27.169389 32.547549 34.603185 25.272239 43.9405633 30.305373
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -41.415797 -40.76603 -34.6103099 -37.663955 -48.65151 -36.854474
## [2,] -11.026487 -12.68871 -9.4062707 -12.571647 -11.90229 -16.280993
## [3,] -1.026487 -1.20387 0.4404565 -2.359137 1.55870 -2.636299
## [4,] 14.269905 14.47929 12.3527489 11.480164 15.69036 19.238771
## [5,] 37.010454 32.90359 25.0390709 46.650863 46.95080 41.692318
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -32.9152136 -49.075832 -38.687988 -31.45333 -36.956699 -16.722260
## [2,] -12.6188215 -12.018671 -10.855086 -16.14493 -12.556501 -7.018652
## [3,] -0.9521548 2.400604 3.459776 -4.18432 2.635222 -5.351985
## [4,] 12.5126920 13.984834 9.713934 12.33682 12.654556 3.277740
## [5,] 41.0109040 40.027874 38.993183 48.70709 35.006360 16.202995
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -29.900979 -32.512355 -36.872125 -23.036804 -35.8856385 -40.070919
## [2,] -13.126213 -15.161556 -15.266822 -12.355630 -9.3653903 -11.263561
## [3,] 3.519687 -2.421007 -4.377646 -2.180559 0.5229234 -2.179875
## [4,] 14.726022 13.244797 12.158002 5.871549 9.4490410 11.820695
## [5,] 40.494125 50.912326 39.140394 25.115843 31.8008450 37.635419
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -34.051047 -26.773364 -32.255661 -37.672697 -47.5658342 -36.240996
## [2,] -12.192336 -12.033178 -9.350255 -15.866234 -14.7236859 -12.560573
## [3,] -1.495204 -1.309566 0.261515 -9.087881 0.1426011 -4.115554
## [4,] 5.736242 8.389123 9.076891 13.171570 12.8713907 11.007183
## [5,] 21.060639 16.246277 29.892103 52.578786 50.0949047 32.926698
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -11.83354 -41.026611 -43.51939 -34.87249 -48.013605 -62.617625
## [2,] -11.83354 -10.795734 -10.97033 -13.07494 -12.923798 -16.399750
## [3,] -11.83354 -2.758793 2.77381 -3.81990 -3.302721 -1.494751
## [4,] -11.83354 10.389834 11.36214 11.70022 13.115292 17.117163
## [5,] -11.83354 35.462854 32.95579 37.35004 43.246230 66.899907
## [,109] [,110] [,111] [,112]
## [1,] -56.3308122 -36.0724871 -33.061180 -46.7782603
## [2,] -15.4844781 -7.8121734 -11.393504 -17.8628372
## [3,] -0.3481338 -0.9608008 -1.688798 -0.3661955
## [4,] 17.6533430 14.1508854 11.018210 14.7486259
## [5,] 49.0843067 32.0031207 34.800839 53.7655766
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -3.861490 -5.405327 -8.837702 -14.558936 -8.918193 -16.115917
## [2,] 1.522681 5.249796 1.937694 5.546939 6.576739 4.263424
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -11.26921 -16.371606 -1.031253 -6.170854 -10.92325 -2.323272
## [2,] 13.59035 8.676355 4.084966 5.685624 14.19129 6.282894
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -0.1975799 2.201879 -4.444737 -3.622499 -15.947599 -10.920272
## [2,] 3.2193842 6.150622 12.224033 4.677084 5.779188 6.504617
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -22.391009 -14.8253180 -24.231501 -4.354447 -9.022073 -2.733719
## [2,] -4.880423 0.9886361 4.352075 1.574892 7.256011 8.051135
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -7.256704 -8.136690 -8.491944 -2.219974 -0.702009 -0.6512773
## [2,] 5.058692 8.364195 7.001252 9.441244 10.913747 7.7929253
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -15.3936754 -12.142102 -6.206262 -8.918068 -20.66049 -36.7926378
## [2,] 0.4592864 1.625441 9.072093 4.319382 9.05894 0.4894266
## [,37] [,38] [,39] [,40] [,41] [,42] [,43]
## [1,] -92.94742 -3.193814 -5.786602 -3.879734 -5.099848 -7.483961 -9.546316
## [2,] 37.18186 10.116372 1.106128 2.455868 2.476454 3.982401 5.487293
## [,44] [,45] [,46] [,47] [,48] [,49]
## [1,] -10.9406850 -5.662790 -4.553056 -4.684607 -6.0989805 -6.781810
## [2,] -0.4221727 8.821038 7.843877 2.600304 0.5069754 5.218776
## [,50] [,51] [,52] [,53] [,54] [,55] [,56]
## [1,] -4.326650 -5.746876 -7.777732 -3.352765 -3.50116 -8.549383 -4.206137
## [2,] 7.797064 3.934303 1.772232 6.153656 9.07543 7.587629 3.543481
## [,57] [,58] [,59] [,60] [,61] [,62]
## [1,] -11.21682 -11.228558 -3.760284 -5.203368 -20.911518 -8.01081
## [2,] 17.78247 7.123334 4.367238 6.810790 7.266368 11.54899
## [,63] [,64] [,65] [,66] [,67] [,68]
## [1,] -4.801189 -10.125376 -1.488239 -4.397326 -8.582007 -4.735429
## [2,] 10.340835 4.737047 4.988849 7.064662 3.041006 1.331775
## [,69] [,70] [,71] [,72] [,73] [,74]
## [1,] -4.889150 -2.765026 -7.539645 -4.621756 -6.251964 -9.030618
## [2,] 1.513738 3.711226 1.404931 8.860615 2.145722 4.861056
## [,75] [,76] [,77] [,78] [,79] [,80]
## [1,] -19.083643 -7.8099182 -8.252201 -15.5075389 -5.552006 -6.409345
## [2,] 3.691285 -0.4009293 7.095524 -0.3283292 3.499032 4.001604
## [,81] [,82] [,83] [,84] [,85] [,86]
## [1,] -4.574273 -8.024120 -5.168369 -13.860545 -6.683481 -0.7505132
## [2,] 5.455186 3.305847 8.285768 8.587947 4.779171 5.5517204
## [,87] [,88] [,89] [,90] [,91] [,92]
## [1,] -1.280698 -11.299628 -3.743237 -8.101830 -3.619115 -9.799569
## [2,] 8.200250 2.930987 9.013682 -2.602141 10.658489 4.957554
## [,93] [,94] [,95] [,96] [,97] [,98]
## [1,] -12.716743 -12.362522 -2.190750 -8.529031 -6.031179 -10.624314
## [2,] 3.961452 8.001405 3.236597 4.169281 3.040771 8.005183
## [,99] [,100] [,101] [,102] [,103] [,104] [,105]
## [1,] -2.363686 -15.852478 -7.564902 -10.23729 -11.83354 -6.788493 -1.74401
## [2,] 2.886716 -2.323283 7.850104 2.00618 -11.83354 1.270906 7.29163
## [,106] [,107] [,108] [,109] [,110] [,111]
## [1,] -7.62197617 -5.588375 -4.527044 -5.317712 -6.665714 -9.238344
## [2,] -0.01782443 -1.017068 1.537542 4.621445 4.744112 5.860747
## [,112]
## [1,] -5.324298
## [2,] 4.591907
##
## $out
## [1] 68.56582 55.03351 -56.19452 46.58311 -40.62345 34.58560 59.62393
## [8] -41.43351 -83.77559 41.16684 -48.40559 48.68493 -41.72507 36.62259
## [15] -38.16378 -38.99232 -45.93325 -34.66257 -34.14713 -37.10013 -42.38954
## [22] -38.45764 -42.96275 -42.88271 52.92046 -38.53244 -41.69406 -39.73615
## [29] -44.92581 -60.63356 -41.81585 30.02607 35.23090 55.77892 59.51291
## [36] 17.03042 61.08003 47.57330 -33.82651 -34.58068 52.07212 52.54111
## [43] 58.19308 36.65890 31.95529 25.57077 -42.70070 33.00581 38.01076
## [50] 42.79479 -51.95851 -52.10624 39.96641 47.09931 -39.82029 -36.76943
## [57] 56.24366 -43.67188 -61.49849 33.88853 33.73730 -49.23307 51.81621
## [64] 39.05946 33.87278 -36.58964 -39.71718 38.69677 -39.27612 42.10430
## [71] 36.96515 -39.41693 40.33716 32.71640 44.04512 -49.46229 49.20671
## [78] -64.66606 -65.61321 -52.08234 24.83272 39.16692 -23.59222 -39.26652
## [85] 41.02335 -38.19916 -51.99974 40.34830 48.82099 49.69036 61.80130
## [92] -46.56122 46.28912 -55.11982 68.60874 55.39710 55.39710
##
## $group
## [1] 1 1 1 3 3 3 4 9 9 9 9 9 13 13 13 13 13
## [18] 13 13 13 14 14 14 14 14 14 14 14 14 14 14 16 16 19
## [35] 19 22 23 24 30 30 31 31 32 39 39 39 40 42 44 44 45
## [52] 45 48 48 51 53 56 56 58 59 59 65 68 68 68 68 70 70
## [69] 70 71 73 73 76 76 78 82 82 86 86 86 90 90 90 95 95
## [86] 95 95 95 96 97 100 105 105 105 107 107 107
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -38.200747 -40.825999 -17.252445 -32.71051 -15.351290 -21.901330
## [2,] -14.809169 -14.847053 -1.649083 -16.33815 -8.925348 -10.046860
## [3,] -1.956534 -1.723715 1.845443 -1.92851 1.609199 -3.588798
## [4,] 14.147836 17.286920 13.809389 11.74525 8.420746 13.590412
## [5,] 50.595944 36.063514 34.068108 33.14205 22.565479 40.393324
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -3.6793379 -17.047447 -37.096920 -35.5462037 -42.811173 -42.757974
## [2,] -3.6476791 -6.747462 -9.935577 -12.9900835 -19.496160 -10.133308
## [3,] -0.2711341 -3.991306 1.200953 0.8843957 5.723933 2.199528
## [4,] 2.0598182 2.065863 10.577938 9.6053479 12.415481 12.346279
## [5,] 2.0990384 6.457753 40.043504 32.6611084 28.713572 43.436207
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -33.023483 -39.687658 -34.091205 -28.026140 -29.580250 -24.039494
## [2,] -9.523083 -8.519944 -7.864722 -9.019501 -13.450484 -13.423780
## [3,] 1.234577 3.275365 5.468611 2.275028 -7.207990 3.735621
## [4,] 10.028829 13.084275 14.148058 6.434810 8.894622 17.884188
## [5,] 37.492311 43.886829 28.801944 16.791713 39.319552 27.561779
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -45.14404 -30.616428 -21.223432 -10.2477518 -44.228704 -35.242559
## [2,] -14.36410 -23.547830 -15.533473 -2.2285816 -14.684863 -11.917213
## [3,] -7.02917 -2.212079 -9.666812 0.4444751 -2.908150 2.642603
## [4,] 10.75813 16.161660 1.265963 6.2364620 8.276752 12.596231
## [5,] 26.59607 34.611597 20.113096 12.0315224 30.425183 46.974338
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -26.0830596 -39.11273 -50.897545 -28.49711 -19.927936 -25.179871
## [2,] -14.2903716 -14.27100 -16.539652 -10.83205 -9.178449 -8.876196
## [3,] -0.3384946 -4.67894 5.469956 3.43054 4.419424 2.667278
## [4,] 16.2150056 11.83526 14.522139 13.03367 11.371781 7.145780
## [5,] 36.8809911 47.62920 43.315785 36.39284 18.046435 27.096734
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -34.632203 -39.815992 -35.504912 -42.926441 -26.405857 -26.50477
## [2,] -18.402023 -12.816882 -10.322867 -16.753667 -16.048595 -26.50477
## [3,] -6.872592 -4.022802 1.456333 -3.200241 -5.620167 -18.52198
## [4,] 12.905255 9.763758 13.188737 16.579666 13.657409 -10.53919
## [5,] 53.375685 37.115348 43.849013 46.139482 19.477521 -10.53919
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -35.2947698 -22.323961 -28.815425 -40.620187 -46.393030 -20.762800
## [2,] -35.2947698 -5.963661 -8.578004 -12.539337 -14.054221 -14.820491
## [3,] -18.0948127 1.698506 1.201904 0.378215 -2.258456 1.041926
## [4,] -0.8948557 13.430780 8.443345 10.330281 12.988341 9.120110
## [5,] -0.8948557 29.594557 29.425191 33.153330 47.955069 23.465408
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -30.382156 -47.648323 -56.490587 -43.073604 -26.364882 -32.557494
## [2,] -13.916568 -16.056642 -16.428936 -11.159455 -10.439283 -10.384686
## [3,] -1.249261 -5.074353 1.575308 3.958578 -1.344375 -1.554807
## [4,] 6.275462 16.014745 10.634100 10.405153 9.658410 7.618509
## [5,] 25.514402 43.058044 42.175777 24.618855 24.372347 34.011492
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -35.3437898 -39.96864 -37.959150 -25.470307 -36.088484 -25.971787
## [2,] -12.1025977 -10.14409 -8.985862 -10.360260 -8.925703 -14.443542
## [3,] -0.3982405 1.82376 1.383990 -5.250214 1.376679 2.195808
## [4,] 10.7825636 13.14460 10.435727 14.765761 14.972298 12.456373
## [5,] 29.0614874 30.91173 29.009345 31.116008 30.415739 34.997328
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -22.903583 -31.1392313 -12.162365 -58.506273 -37.910186 -34.9417331
## [2,] -14.460204 -6.0022203 -5.746893 -14.292571 -13.114601 -10.6220984
## [3,] -3.242117 0.6644463 1.112919 -3.943067 1.885399 -0.4462605
## [4,] 10.462103 11.1046307 10.320881 20.817475 15.564846 11.2329364
## [5,] 44.203268 32.5901194 19.117587 53.254464 34.888594 32.0163853
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -8.225215 -21.2604650 -20.996731 -39.039331 -39.349246 -33.3319282
## [2,] -5.805848 -9.5654846 -11.877100 -15.607570 -10.619308 -9.9906073
## [3,] -3.386482 0.3687193 1.855621 -6.465905 1.743119 0.2758621
## [4,] 18.357478 5.8097951 11.456233 15.436801 13.640593 12.6533197
## [5,] 40.101437 13.2175875 30.779982 45.533508 37.107285 38.9686327
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -31.1270084 -33.092309 -33.384904 -33.96257493 -38.287104 -27.0530629
## [2,] -10.6814311 -10.595196 -10.198654 -9.14279026 -11.185895 -12.5414549
## [3,] -0.8922643 -1.758091 -1.087010 -0.03913421 -2.962607 0.4537526
## [4,] 14.8143991 6.905381 9.801346 7.96406081 7.976864 9.2432455
## [5,] 41.4770295 29.729576 29.817321 30.03934034 29.735792 16.9163022
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -26.409375 -40.351945 -39.002481 -28.725940 -39.831311 -21.220032
## [2,] -12.562882 -14.750868 -19.789970 -10.593629 -14.948530 -16.888006
## [3,] -1.907140 -4.670668 -8.739155 -3.250711 -3.414067 -6.219212
## [4,] 6.140284 15.022646 11.372462 6.073038 6.585933 10.992143
## [5,] 27.020653 32.521028 26.205684 29.452801 37.262185 41.922087
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -27.5001861 -40.248253 -35.6822831 -32.960916 -35.7139899 -32.0035789
## [2,] -11.5407297 -14.345029 -10.0660654 -13.751617 -14.3774616 -15.1008449
## [3,] -0.7209196 -3.527523 -0.6242835 -4.631985 -0.9260946 -0.6510754
## [4,] 12.5023676 13.050117 13.3853016 12.034681 14.9462867 21.8095956
## [5,] 42.5023676 52.119803 30.5188387 46.468476 41.8330455 39.3329495
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -31.5529718 -43.124423 -41.471878 -48.3896017 -36.849519 -16.686707
## [2,] -12.9995462 -12.192121 -11.130538 -16.7355674 -13.846324 -7.575063
## [3,] 0.1891464 3.098732 1.572911 0.8472997 2.982645 -5.130087
## [4,] 12.8888101 15.414735 10.632598 13.1736353 12.482217 2.934024
## [5,] 42.0004538 48.932626 36.913332 45.9653333 45.520079 17.542970
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -29.73106436 -28.518744 -35.630146 -35.410032 -39.060433294 -52.15202
## [2,] -12.84430549 -15.405503 -19.117387 -15.172985 -11.124878894 -12.68733
## [3,] -0.09758755 -4.068974 -2.482302 -2.030087 -0.008442737 -1.36661
## [4,] 12.48583282 12.157508 15.714370 2.762913 8.753486894 18.42911
## [5,] 33.38217677 51.041072 37.483095 7.363508 31.320098055 48.83769
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -48.9204869 -26.50146209 -33.241607 -45.082185 -32.387670 -20.260946
## [2,] -12.6378260 -7.71209048 -8.950244 -16.186962 -15.279369 -12.037659
## [3,] -0.6250459 -0.06288295 -0.128366 -6.107562 -1.993649 -1.377382
## [4,] 12.5597941 7.36386661 8.315013 12.696602 10.385678 6.201604
## [5,] 46.0256456 21.01333761 31.823008 52.476510 46.063946 20.798564
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -11.32921 -35.621536 -47.05328 -33.256831 -39.499912 -52.7481912
## [2,] -11.32921 -11.251357 -11.49142 -13.124504 -13.263206 -19.2859929
## [3,] -11.32921 -3.028070 1.40772 -4.182216 -2.775317 0.4248809
## [4,] -11.32921 9.865079 12.57714 9.005195 12.485790 16.0311167
## [5,] -11.32921 36.311653 46.33330 38.370976 47.394309 62.1081409
## [,109] [,110] [,111] [,112]
## [1,] -50.10609 -36.943086 -29.649814 -39.8169778
## [2,] -18.52197 -13.383874 -13.060187 -18.2724801
## [3,] -2.38332 1.044134 -1.428302 0.6822288
## [4,] 19.10689 15.222899 10.645431 16.6452390
## [5,] 52.57331 28.150985 32.192798 50.9597650
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -4.973336 -7.263359 -4.260654 -11.850338 -5.992087 -12.925520
## [2,] 1.060268 3.815929 7.951539 7.993318 9.210486 5.747925
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -2.772234 -10.218780 -1.454289 -4.114714 -6.881165 -2.107632
## [2,] 2.229966 2.236167 3.856194 5.883505 18.329030 6.506687
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -0.7153098 1.107812 -0.9899087 -2.110540 -13.6538200 -6.361704
## [2,] 3.1844644 5.442919 11.9271305 6.660596 -0.7621591 13.832946
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -17.27789 -15.58850 -19.6991636 -3.008875 -9.223575 -3.196352
## [2,] 3.21955 11.16435 0.3655404 3.897826 3.407274 8.481557
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -8.157323 -13.473021 -2.194681 -2.254130 -2.350906 -1.551843
## [2,] 7.480334 4.115142 13.134594 9.115209 11.189755 6.886398
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -15.756858 -10.888923 -5.325994 -11.858588 -19.771749 -36.3591781
## [2,] 2.011673 2.843319 8.238660 5.458105 8.531415 -0.6847766
## [,37] [,38] [,39] [,40] [,41] [,42] [,43]
## [1,] -56.52738 -4.556514 -4.666790 -3.473682 -6.126799 -7.635988 -7.074000
## [2,] 20.33776 7.953526 7.070597 4.230112 1.609887 9.719840 4.575478
## [,44] [,45] [,46] [,47] [,48] [,49]
## [1,] -13.895353 -5.983592 -3.145942 -5.747912 -4.715368 -6.115410
## [2,] 3.746648 9.134208 11.063098 3.059162 1.605753 5.318929
## [,50] [,51] [,52] [,53] [,54] [,55]
## [1,] -4.486724 -3.529721 -11.690261 -4.669575 -4.441869 -9.995259
## [2,] 8.134244 6.297700 1.189832 7.422933 8.833484 3.511024
## [,56] [,57] [,58] [,59] [,60] [,61]
## [1,] -2.415774 -8.482496 -15.037842 -4.795715 -5.430375 -25.42859
## [2,] 3.744667 10.708335 7.151708 8.566514 4.537854 18.65563
## [,62] [,63] [,64] [,65] [,66] [,67]
## [1,] -6.644049 -6.833935 -15.004433 -1.397049 -6.048749 -7.108130
## [2,] 7.381488 10.545178 2.072622 4.883288 6.600473 5.323601
## [,68] [,69] [,70] [,71] [,72] [,73]
## [1,] -4.909205 -4.417943 -3.042337 -6.972915 -6.723277 -6.312343
## [2,] 1.393023 2.243922 2.964069 1.047700 7.630783 2.498064
## [,74] [,75] [,76] [,77] [,78] [,79]
## [1,] -13.259351 -20.680795 -7.0918222 -9.165249 -15.831849 -5.022224
## [2,] 3.918014 3.202484 0.5904007 2.337115 3.393425 3.580385
## [,80] [,81] [,82] [,83] [,84] [,85]
## [1,] -8.776519 -6.029042 -10.705496 -8.075204 -12.31477 -5.714780
## [2,] 1.721473 4.780475 1.441526 6.223015 11.01262 6.093073
## [,86] [,87] [,88] [,89] [,90] [,91]
## [1,] -0.2466792 -3.442767 -6.624615 -3.678541 -7.936735 -6.589951
## [2,] 6.4441442 6.588589 8.319215 9.643831 -2.323438 6.394776
## [,92] [,93] [,94] [,95] [,96] [,97]
## [1,] -11.228477 -13.07363 -12.049337 -2.875571 -9.924958 -7.000106
## [2,] 3.090529 8.10903 7.989163 2.858686 7.191739 5.750015
## [,98] [,99] [,100] [,101] [,102] [,103]
## [1,] -6.939128 -2.588040 -12.8362275 -9.162081 -6.115038 -11.32921
## [2,] 6.813362 2.331308 0.6211038 5.174783 3.360274 -11.32921
## [,104] [,105] [,106] [,107] [,108] [,109]
## [1,] -7.0446201 -3.461308 -7.5783093 -5.0355071 -2.770277 -8.026405
## [2,] 0.9884796 6.276749 -0.7861219 -0.5151278 3.620039 3.259765
## [,110] [,111] [,112]
## [1,] -6.386487 -9.413708 -4.626507
## [2,] 8.474755 6.557105 5.990964
##
## $out
## [1] 63.18393 64.25334 59.70159 -32.88438 46.10803 -16.69747 11.47638
## [8] -23.51526 14.08075 -44.75445 -83.88504 -41.38391 -48.71986 44.88822
## [15] 54.96714 -46.66107 -39.76218 -39.96873 43.12632 -40.04562 -46.32131
## [22] -46.01716 -45.21200 -39.12908 -45.26640 -48.19719 -41.05542 -42.63958
## [29] -44.75688 -54.08954 -41.20475 -44.41629 37.16498 44.42797 65.18773
## [36] -20.77435 58.86856 56.42832 -38.50360 37.57308 46.72561 60.80057
## [43] -48.22192 34.31514 45.94854 47.45823 43.60241 35.62170 51.67934
## [50] -52.12424 38.00998 -40.04941 -34.93626 37.95524 -56.22971 52.15126
## [57] 29.02662 -53.81783 -60.74926 54.46839 47.11595 36.21487 43.46274
## [64] -45.72854 -42.07211 61.59544 55.62109 -38.80857 33.58558 33.85614
## [71] 54.20243 48.14255 -48.91057 -69.32060 56.18151 -70.97646 -67.00959
## [78] -63.52672 25.98635 19.42135 38.64343 -28.12053 39.98357 49.86235
## [85] -45.23715 35.32115 47.28247 -44.88759 61.13998 46.71125 -54.44717
## [92] -52.97309 52.19699 54.03378 -53.66238 56.83314 56.83314
##
## $group
## [1] 1 1 1 3 5 7 7 7 7 9 9 9 9 9 9 12 13
## [18] 13 13 13 13 13 13 13 14 14 14 14 14 14 14 14 16 17
## [35] 19 22 23 23 30 30 32 32 38 39 40 40 43 48 48 48 56
## [52] 56 56 57 59 60 62 65 67 68 68 68 69 70 70 71 71 76
## [69] 76 76 77 77 79 79 80 83 86 86 90 90 90 90 95 95 98
## [86] 99 99 99 100 102 105 105 107 107 107 107 107
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -44.849988 -34.798855 -47.703259 -32.554513 -19.027244 -25.641310
## [2,] -13.255096 -15.656388 -10.252491 -14.896232 -5.093029 -11.611999
## [3,] -2.408684 -1.100659 -1.366682 1.332328 4.560226 -5.726601
## [4,] 15.836016 15.407849 24.144682 9.508757 13.315249 17.782971
## [5,] 45.591986 42.395475 43.062772 33.734755 35.017931 41.684859
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -23.214562 -4.870598 -42.922463 -43.2337145 -24.4508751 -35.541907
## [2,] -14.474947 -4.870598 -10.731939 -12.0641530 -16.4778036 -9.171177
## [3,] 3.060509 -2.185159 1.304703 -0.7319663 -0.4645649 3.546549
## [4,] 4.035466 7.242261 12.170627 13.4543463 9.4418306 11.855875
## [5,] 31.089368 14.069324 44.765789 50.3548537 19.6576241 37.489769
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -31.969708 -41.187450 -30.941534 -30.501026 -29.640261 -42.580245
## [2,] -8.246582 -8.620063 -12.785280 -9.661116 -14.932527 -12.073471
## [3,] 1.122888 4.345022 4.117934 2.134906 -3.447606 5.207823
## [4,] 9.814678 13.218271 12.464749 11.965535 5.487483 12.254686
## [5,] 36.704605 37.826731 31.683481 33.978652 30.923393 27.932648
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -20.822963 -36.6929240 -23.037904 -13.920312 -45.3341088 -27.544828
## [2,] -14.820963 -15.2667964 -15.803523 -6.024332 -15.0528993 -6.885790
## [3,] -8.317687 -0.8917635 -1.902476 2.528081 -0.2299789 5.039119
## [4,] -2.597323 11.1761144 1.099873 6.356178 15.3742098 11.896792
## [5,] 7.249178 30.6374777 18.097524 16.109492 58.6345933 31.319744
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -32.337857 -18.066944 -40.801828 -25.345715 -18.792487 -27.360184
## [2,] -6.864364 -7.712785 -17.249631 -8.501969 -6.026868 -9.373863
## [3,] 1.320820 -2.496813 3.262419 3.447462 4.540846 2.543100
## [4,] 11.489158 6.047658 15.210508 12.315774 11.811701 8.464973
## [5,] 37.196107 25.096310 47.889214 39.477205 24.999992 25.980563
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -47.128885 -41.733735 -36.0104067 -28.875110 -24.531309 -20.95185
## [2,] -18.076807 -10.160856 -8.2812621 -18.517693 -16.346297 -20.95185
## [3,] -4.370616 -3.478285 0.4791803 -2.913504 -5.753345 -15.61902
## [4,] 12.680991 11.286692 14.6979119 16.024018 12.437967 -10.28619
## [5,] 50.496415 36.269069 41.3645786 48.221924 15.951465 -10.28619
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -9.121349 -28.54546 -27.9591966 -29.73308364 -33.7488148 -24.571976
## [2,] -9.121349 -10.96972 -9.5865927 -9.25674311 -11.2426170 -15.453718
## [3,] -1.830375 1.08244 0.4803111 -0.06394054 0.5287722 -9.238129
## [4,] 5.460598 17.11339 8.2884515 10.29339853 12.8719847 4.206869
## [5,] 5.460598 31.39545 32.6842628 38.57445867 38.2632012 9.128084
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -32.156575 -31.040261 -52.59005115 -28.490762 -26.640490 -28.316357
## [2,] -12.464080 -15.609836 -13.84521713 -12.185134 -11.452079 -8.403191
## [3,] -5.136011 -3.689996 -0.08477469 1.067799 -2.511278 -1.736524
## [4,] 7.972908 11.583924 14.17043180 8.957173 10.817372 7.200998
## [5,] 37.172566 47.785497 36.80250316 23.707144 30.026855 29.866340
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -27.6380076 -41.659716 -31.2935401 -23.431234 -49.316577 -32.223498
## [2,] -11.5025799 -11.940925 -8.5279206 -8.608314 -10.585201 -10.592749
## [3,] -0.9348661 2.168382 -0.5852215 -3.608314 2.818352 -1.608977
## [4,] 8.6660398 15.227648 8.4929054 10.256259 16.312729 11.814142
## [5,] 35.0514502 34.277008 28.2793508 30.610418 46.771572 44.813859
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -26.712339 -29.967435 -10.686303 -58.057320 -39.768766 -34.9657755
## [2,] -13.509890 -6.127730 -3.292852 -15.957417 -11.790305 -14.4152193
## [3,] -1.096506 1.601414 13.513823 -3.734458 -1.009036 -0.2382903
## [4,] 11.516864 10.893096 15.775595 14.775955 8.760620 12.5423147
## [5,] 40.662646 19.954238 16.895247 54.775955 36.158986 32.1881554
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -2.514170 -20.2419191 -19.9815360 -36.040158 -40.951325 -33.387919
## [2,] 1.410202 -12.1552462 -11.3981732 -18.635068 -11.453932 -7.206881
## [3,] 5.334573 -0.6526317 -0.1084481 -5.875116 -0.924603 4.399223
## [4,] 30.591763 14.9714507 7.4663990 16.958992 13.334397 12.788838
## [5,] 55.848953 24.2731986 31.8622103 49.773623 42.802545 20.974725
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -30.33615 -37.361619 -23.217229 -29.274673 -24.039667 -22.102701
## [2,] -11.01599 -11.640259 -8.979578 -7.572826 -8.228354 -10.472509
## [3,] -1.68320 -3.129846 -1.539248 0.510478 -2.721977 1.584792
## [4,] 14.48423 5.734726 9.138565 9.093841 7.985284 7.771797
## [5,] 44.16608 29.804857 31.778127 27.958413 26.754683 12.439010
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -26.065143 -37.354073 -30.214981 -23.779887 -29.736486 -33.739431
## [2,] -9.227504 -17.254033 -19.787872 -12.170232 -8.680727 -24.239204
## [3,] -2.206678 -1.735567 1.420506 -2.524391 2.280644 -5.435001
## [4,] 5.241257 11.880785 11.347556 6.217629 8.146762 16.224488
## [5,] 26.657894 49.112396 26.281480 28.145329 30.796699 39.557822
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -29.299932 -49.883516 -32.8746176 -37.849075 -57.253059 -32.815603
## [2,] -8.657169 -13.429823 -9.7548388 -13.100348 -12.822297 -10.845908
## [3,] -2.130881 -2.119103 0.6851528 -4.413162 1.469384 2.080267
## [4,] 6.148861 12.669130 13.1878603 11.263977 20.865195 18.746934
## [5,] 25.440542 45.949825 24.1462084 45.940998 45.969325 38.319824
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -32.562135 -49.640776 -38.9345363 -40.0540240 -35.815476 -19.934101
## [2,] -12.385055 -12.947007 -10.6488199 -14.9948337 -12.208950 -9.757021
## [3,] -0.858993 2.939424 0.9430151 -0.2982915 1.676076 -4.757021
## [4,] 12.047231 14.533072 10.9248589 11.7083079 13.049096 8.700111
## [5,] 41.125358 43.055229 40.3758772 48.1978949 36.028271 35.597138
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -32.814726 -29.413113 -39.249385 -27.589460 -37.2000124 -28.022917
## [2,] -12.926798 -12.319337 -22.072736 -15.452473 -10.6062955 -13.550204
## [3,] -1.564101 -3.454765 -2.365012 -2.779869 0.7035079 -1.810357
## [4,] 13.708502 10.659837 14.735781 6.061444 8.4041764 16.800003
## [5,] 36.542833 26.264026 37.989148 24.085301 32.7999876 47.154162
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -38.626500 -26.711440 -33.179811 -40.569655 -48.7949005 -20.1275938
## [2,] -13.449420 -7.227412 -9.189575 -16.769635 -11.8363213 -11.9713401
## [3,] -3.045147 -2.083931 1.242031 -8.906239 -0.4298052 -0.3918898
## [4,] 9.102645 10.204446 8.914084 7.389010 13.0915833 6.8701882
## [5,] 21.913854 23.827375 33.123850 36.607741 47.8307764 23.5187103
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -13.2529 -33.977835 -43.887805 -34.854228 -44.650230 -63.326999
## [2,] -13.2529 -11.276479 -11.976970 -14.122877 -13.603620 -17.440170
## [3,] -13.2529 -3.120226 2.496804 -4.525128 -3.214685 -1.319338
## [4,] -13.2529 12.056854 11.688741 10.963532 12.717514 16.561259
## [5,] -13.2529 35.817296 44.340550 36.987516 48.949447 52.546537
## [,109] [,110] [,111] [,112]
## [1,] -54.0121321 -37.9659473 -29.43030 -49.6252128
## [2,] -15.8073871 -10.3097525 -11.76976 -16.5973053
## [3,] -0.6714748 0.8256752 -1.78636 -0.5528152
## [4,] 16.3883748 14.8673271 11.63449 13.5301856
## [5,] 49.6513777 32.0670281 34.36057 52.5794866
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -5.4394573 -6.455889 -14.95357 -7.289924 -3.506524 -17.337614
## [2,] 0.6220898 4.254571 12.22020 9.954579 12.626976 5.884412
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -5.050998 -10.744075 -1.659774 -6.377788 -10.702820 -0.4823006
## [2,] 11.172015 6.373757 4.269180 4.913855 9.773691 7.5753979
## [,13] [,14] [,15] [,16] [,17] [,18] [,19]
## [1,] -0.6783383 2.153980 -3.29039 -4.002227 -9.338109 -2.63840 -13.304373
## [2,] 2.9241142 6.536064 11.52626 8.272038 2.442898 13.05405 -3.331001
## [,20] [,21] [,22] [,23] [,24] [,25] [,26]
## [1,] -9.799247 -11.99691 -2.522601 -8.598733 0.5652216 -3.383368 -7.132116
## [2,] 8.015720 8.19196 7.578763 8.138775 9.5130168 6.025009 2.138490
## [,27] [,28] [,29] [,30] [,31] [,32] [,33]
## [1,] -4.747268 -1.511199 -1.33612 -2.154460 -13.09895 -9.999866 -6.149558
## [2,] 11.272106 8.406122 10.41781 7.240661 4.35772 3.043295 7.107919
## [,34] [,35] [,36] [,37] [,38] [,39]
## [1,] -11.885727 -19.465821 -27.535004 -18.12175 -7.974817 -5.682723
## [2,] 6.058719 7.959131 -3.703034 14.46099 10.139696 6.643345
## [,40] [,41] [,42] [,43] [,44] [,45]
## [1,] -3.356743 -2.920737 -16.364637 -11.0314118 -11.169441 -7.909747
## [2,] 3.228862 3.978281 -2.111621 0.7593903 3.789449 7.740197
## [,46] [,47] [,48] [,49] [,50] [,51] [,52]
## [1,] -5.897593 -7.390662 -4.475926 -5.973389 -5.193426 -4.891533 -8.443489
## [2,] 8.033191 2.368105 1.002878 4.103657 9.530189 3.721090 1.226862
## [,53] [,54] [,55] [,56] [,57] [,58]
## [1,] -3.986891 -7.137979 -7.877950 -1.463317 2.126454 -13.446204
## [2,] 9.623595 3.920025 5.684937 4.666145 24.901192 5.977287
## [,59] [,60] [,61] [,62] [,63] [,64] [,65]
## [1,] -5.796545 -6.386046 -21.28524 -13.02530 -7.133795 -15.66500 -4.133171
## [2,] 3.778472 5.909466 31.95438 11.72004 6.916899 3.91477 2.283965
## [,66] [,67] [,68] [,69] [,70] [,71]
## [1,] -1.185725 -7.900135 -6.258346464 -4.556763 -2.415448 -6.1151038
## [2,] 9.984171 4.533734 -0.001346319 1.478268 3.436404 0.6711505
## [,72] [,73] [,74] [,75] [,76] [,77]
## [1,] -4.425845 -5.614542 -10.140007 -10.51079 -6.762180 -2.213453
## [2,] 7.595429 1.201185 6.668873 13.35180 1.713398 6.774740
## [,78] [,79] [,80] [,81] [,82] [,83]
## [1,] -19.386245 -4.7796762 -7.119745 -4.602375 -10.151752 -6.743603
## [2,] 8.516244 0.5179145 2.881538 5.972681 1.325428 9.682371
## [,84] [,85] [,86] [,87] [,88] [,89]
## [1,] -7.271071 -6.430858 -0.3906252 -4.028999 -6.969269 -4.714272
## [2,] 11.431605 4.712872 6.2694725 5.915029 6.372686 8.066424
## [,90] [,91] [,92] [,93] [,94] [,95]
## [1,] -9.6863442 -8.390991 -9.423614 -13.557420 -14.797852 -2.038441
## [2,] 0.1723021 5.262789 2.514085 8.827396 9.238114 3.445457
## [,96] [,97] [,98] [,99] [,100] [,101]
## [1,] -10.157960 -8.750876 -10.034718 -1.337085 -14.534195 -7.392348
## [2,] 6.537246 2.660581 5.866857 3.821147 -3.278282 6.532737
## [,102] [,103] [,104] [,105] [,106] [,107]
## [1,] -5.285984 -13.2529 -7.558451 -2.290729 -8.3749674 -5.5250960
## [2,] 4.502205 -13.2529 1.317999 7.284336 -0.6752877 -0.9042747
## [,108] [,109] [,110] [,111] [,112]
## [1,] -4.395466 -5.499775 -5.714081 -9.670251 -5.133265
## [2,] 1.756789 4.156826 7.365432 6.097530 4.027635
##
## $out
## [1] 64.00793 -42.47062 -47.58270 -83.20830 -57.38913 46.89136 -47.18357
## [8] -41.97081 -45.08824 -42.19188 -37.33107 -37.44843 -41.86327 -51.27219
## [15] -45.65804 -44.75183 65.92098 -38.57039 -64.92163 52.64001 -51.85716
## [22] -41.76786 -43.00101 -52.01892 -42.27318 -49.25894 -42.79269 -60.40236
## [29] -64.94312 -44.11693 -52.71560 40.61089 45.59095 64.23438 -59.94599
## [36] 46.49682 -36.05524 -45.17952 48.03461 -41.48721 30.90937 -39.12942
## [43] 60.12544 -41.63380 -39.67013 -48.26720 -73.19724 55.52238 34.11175
## [50] 37.58725 41.98821 41.68894 -47.78212 35.34569 -32.70491 35.00309
## [57] 51.93558 -48.69316 -38.46182 54.57460 -45.55609 52.82850 47.27648
## [64] -38.44264 50.43579 54.48939 -48.97239 41.78457 -46.30084 -37.79071
## [71] -36.15054 -44.79063 28.98739 37.01902 34.92354 -52.10307 34.38552
## [78] 45.80216 35.56411 39.90930 30.69057 48.53996 40.20478 -31.77744
## [85] -38.23757 -54.88023 48.13890 50.04414 -63.47083 -62.33530 -52.02784
## [92] 37.74708 49.87857 41.66456 50.62404 -43.77437 44.27972 49.68294
## [99] -56.28527 -43.34826 40.35806 41.71304 -41.33067 54.40984 45.11815
## [106] 47.84236 47.38901 52.21193 63.27441 -62.61695 -49.04688 -55.15939
## [113] 83.37622 54.82446 66.30318 55.31396 55.31396
##
## $group
## [1] 1 7 8 9 9 9 12 13 13 13 13 13 13 13 13 13 13
## [18] 13 14 14 14 14 14 14 14 14 14 14 14 14 14 17 17 19
## [35] 22 24 24 24 25 25 26 26 32 40 40 41 41 41 42 42 42
## [52] 43 47 48 48 48 54 56 56 57 59 68 68 68 68 68 69 70
## [69] 70 70 70 71 73 73 76 77 77 77 79 79 79 79 79 79 79
## [86] 82 82 82 86 86 87 90 92 95 95 95 97 97 98 99 99 99
## [103] 99 100 100 100 100 100 100 101 102 105 107 107 107 107 107
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -46.605373 -40.7121146 -26.006805 -24.820949 -18.854659 -21.373253
## [2,] -14.468281 -13.3059384 -9.785766 -15.082308 -3.825141 -10.745241
## [3,] -1.598594 -0.1949637 3.447884 -6.522804 2.845541 -2.169764
## [4,] 14.317177 12.3472325 14.584322 9.574823 11.051193 16.176519
## [5,] 56.731220 35.6891845 40.507052 43.344495 26.884772 40.587394
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -26.6001708 -21.950310 -43.014535 -38.2008179 -26.260244 -36.6641962
## [2,] -16.6133910 -6.067722 -10.974048 -10.8720075 -16.086132 -8.9484758
## [3,] 0.8531892 -2.837440 1.666316 0.6647383 -5.511023 0.4055835
## [4,] 16.3524446 5.322219 12.306099 9.6406084 11.941955 13.5173571
## [5,] 21.2800052 6.862891 47.097756 32.5815796 22.138718 46.4720029
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -33.110580 -35.762581 -32.370119 -21.867621 -32.239436 -16.694907
## [2,] -9.090444 -6.904195 -6.879375 -5.403157 -11.760114 -10.929785
## [3,] 1.382855 2.168545 4.032640 3.153188 -5.138016 -3.689069
## [4,] 9.840803 12.682705 14.102112 6.995023 7.174975 9.895751
## [5,] 36.676836 39.993396 29.787291 20.483229 30.543376 29.636126
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -21.614851 -29.777005 -21.668228 -7.2349544 -45.7283167 -43.071856
## [2,] -13.521326 -12.978448 -19.269716 -3.4186943 -14.1611948 -10.227030
## [3,] -7.860798 -6.490597 -10.295542 -0.9571597 0.1536256 2.940699
## [4,] -2.184863 11.658049 9.116496 2.3750102 12.8540665 13.333061
## [5,] 2.773322 32.432271 20.398485 7.0232847 31.1327859 35.587690
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -27.8866818 -39.0461996 -35.0270117 -27.339130 -16.922171 -21.507919
## [2,] -12.7292829 -6.6943533 -14.6250732 -9.791978 -6.628190 -7.924935
## [3,] -0.2238874 -0.4313787 0.8669976 2.759252 5.235239 -1.040026
## [4,] 13.5099857 15.3681410 14.3805739 11.927616 11.332543 8.334329
## [5,] 39.9030503 34.0519144 43.7787741 37.366889 20.288109 27.742564
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -37.226328 -27.412739 -34.855132 -30.660038 -42.588197 -13.559145
## [2,] -16.532736 -16.502589 -10.149113 -15.209897 -20.369066 -13.559145
## [3,] -6.988769 -4.345659 1.517554 -2.937262 -5.299406 -10.825140
## [4,] 7.439378 13.935560 11.571807 10.280846 6.286874 -8.091135
## [5,] 28.857419 36.542641 42.987458 46.947513 23.854147 -8.091135
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -31.546027 -23.050754 -21.880500 -29.960482 -42.482306 -18.617302
## [2,] -31.546027 -7.112726 -10.217263 -9.960482 -13.490434 -11.427344
## [3,] -16.685431 1.209893 -2.406746 0.310731 -1.124137 -3.723266
## [4,] -1.824835 12.358694 11.594244 8.841175 14.399199 4.793947
## [5,] -1.824835 32.798190 36.390559 32.784889 42.063135 18.939374
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -26.903794 -32.671557 -33.450307 -28.492006 -34.852010 -34.3220352
## [2,] -13.788812 -12.563034 -13.710043 -11.629740 -12.193580 -9.4201777
## [3,] -2.429550 -5.018076 3.137973 3.468642 -3.275613 -0.5487816
## [4,] 3.499007 6.543211 14.600010 8.861004 8.294187 8.8136109
## [5,] 13.761861 34.101306 32.993935 24.056603 34.939290 30.3830595
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -26.1055931 -39.7300359 -29.854009 -25.172463 -33.129378 -40.41665
## [2,] -10.3208688 -11.2971578 -8.579704 -9.878482 -7.386786 -12.96902
## [3,] -0.4568611 0.1715827 -1.297901 -4.584501 1.165847 5.42784
## [4,] 10.4638555 12.0361756 10.341591 9.711299 14.430464 16.71627
## [5,] 23.5032081 32.6218103 30.537190 29.336794 31.951886 33.83652
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -26.0813801 -29.3002580 -13.694444 -27.303675 -34.392021 -29.5555780
## [2,] -17.9403636 -6.6340685 -9.756045 -14.361541 -10.667489 -12.7682180
## [3,] -0.2987818 0.8927321 1.158626 -3.970342 -2.332922 -0.9408487
## [4,] 13.4799099 9.3256102 12.056417 14.656972 8.910081 10.9351656
## [5,] 43.0863844 32.2156395 20.806965 54.656972 34.235293 32.6018322
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -0.5170388 -11.679803 -18.601864 -34.855419 -43.612766 -27.0502554
## [2,] 0.9988586 -6.610586 -10.953711 -17.687769 -10.730591 -10.2659729
## [3,] 2.5147560 1.563870 -2.621541 2.190348 2.443037 0.7414039
## [4,] 14.8720157 5.034477 8.261565 17.014070 13.387466 14.5653629
## [5,] 27.2292753 19.002023 33.358783 42.434670 39.059052 37.1647029
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -38.652064 -30.978237 -25.911421 -34.9602484 -28.3848666 -21.849092
## [2,] -13.639984 -9.506634 -11.795690 -9.0922921 -7.2084478 -9.769018
## [3,] -3.611335 -2.643204 -2.677633 0.7265446 -0.9668129 2.072203
## [4,] 14.526399 7.774103 7.616348 8.1759494 7.2158709 6.974985
## [5,] 33.153713 32.498646 34.513120 31.5880632 25.7652061 15.713867
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -25.113274 -34.30052 -28.950313 -25.668912 -30.48747 -38.342644
## [2,] -10.279051 -11.91133 -15.153103 -10.679492 -12.96396 -11.451129
## [3,] -1.353371 -5.26880 -3.773168 -2.140981 -4.18779 -2.263905
## [4,] 5.789305 10.75938 3.948561 6.287276 10.33352 11.627547
## [5,] 23.447808 37.14907 19.276965 25.997939 41.10619 40.509518
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -28.0116720 -54.8531052 -33.0155456 -38.326025 -37.9511934 -29.343274
## [2,] -10.9541317 -13.6107551 -6.3477156 -11.722611 -12.5540556 -14.438165
## [3,] -0.2830986 0.7555571 0.3177877 -2.507336 -0.4696289 -1.301594
## [4,] 12.6131307 14.4195582 11.8872364 11.219523 15.1183327 17.128957
## [5,] 44.6494031 48.1557062 22.4751979 31.610722 45.9007302 41.441451
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -39.19606225 -48.115308 -38.174337 -50.810349 -48.906621 -16.233495
## [2,] -12.33710468 -11.601731 -9.928634 -17.058932 -11.685656 -7.606181
## [3,] 0.01590493 2.292338 1.498792 1.990095 5.471754 -4.860809
## [4,] 14.91868694 13.807561 11.249965 11.373946 14.490267 3.199027
## [5,] 44.03558121 39.086805 29.619205 53.896991 37.823600 16.708639
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -49.5937826 -29.862785 -33.669614 -32.272088 -34.1951658 -36.6991006
## [2,] -13.4459038 -15.086817 -21.414986 -16.107402 -10.1754895 -10.3005212
## [3,] 0.5737725 -4.302092 -4.454338 -2.385596 0.0224367 0.6077885
## [4,] 14.3966860 12.364574 16.919631 2.743699 7.7666451 7.7388314
## [5,] 55.4981610 50.991888 39.075758 20.846487 32.0803021 30.4842031
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -37.179738 -23.538235 -31.7906731 -27.528420 -51.6709758 -38.892472
## [2,] -11.885757 -9.266532 -8.2550057 -13.734199 -14.8114839 -11.323577
## [3,] -2.864918 -2.137869 0.7602626 -7.136057 -0.2672417 1.812994
## [4,] 9.246497 7.596836 8.4060896 8.688074 15.9446059 10.440308
## [5,] 34.353469 17.343252 33.2295364 35.804914 33.5784999 35.502088
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -11.14048 -29.286176 -39.079962 -34.831170 -40.093377 -50.005146
## [2,] -11.14048 -11.834785 -11.237372 -13.055171 -12.952869 -16.183640
## [3,] -11.14048 -1.834785 2.540935 -4.231292 -3.918795 -1.994285
## [4,] -11.14048 9.343465 12.399793 11.226752 12.543068 16.476875
## [5,] -11.14048 34.440683 46.605218 37.383663 50.774298 61.195932
## [,109] [,110] [,111] [,112]
## [1,] -53.5888880 -34.3598915 -30.426923 -51.72400
## [2,] -14.1038204 -10.0033335 -11.411327 -17.22989
## [3,] 0.4772987 0.7373265 -1.712008 -3.02332
## [4,] 15.6841296 13.9793961 10.992638 15.27388
## [5,] 54.4138631 33.6771343 34.770703 52.48199
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -4.597524 -4.617369 -6.178301 -15.23414 -3.673464 -12.803859
## [2,] 1.400335 4.227441 13.074068 2.18853 9.364546 8.464331
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -13.59287 -10.885543 -1.347035 -3.873560 -16.582118 -3.898941
## [2,] 15.29925 5.210664 4.679666 5.203037 5.560071 4.710108
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -0.5051338 0.2033893 -2.12330 -0.3651225 -10.6001680 -10.405640
## [2,] 3.2708442 4.1337006 10.18858 6.6714984 0.3241369 3.027503
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -12.485556 -14.789577 -27.247330 -3.320726 -7.276725 -2.671172
## [2,] -3.236039 1.808383 6.656246 1.406407 7.583976 8.552571
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -6.949270 -7.863287 -6.290278 -2.414225 -0.6819737 -5.321633
## [2,] 6.501495 7.000530 8.024273 7.932728 11.1524527 3.241580
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -13.7914885 -13.601022 -4.748219 -9.558493 -17.997973 -16.934157
## [2,] -0.1860494 4.909704 7.783327 3.683969 7.399162 -4.716122
## [,37] [,38] [,39] [,40] [,41] [,42] [,43]
## [1,] -49.89080 -5.069954 -9.927011 -2.856005 -5.113650 -9.603108 -7.416519
## [2,] 16.51994 7.489740 5.113518 3.477467 2.865377 2.156576 2.557419
## [,44] [,45] [,46] [,47] [,48] [,49]
## [1,] -10.2731092 -4.769228 -3.28209 -7.764618 -3.749824 -5.649300
## [2,] 0.2369567 11.045174 10.21937 1.213391 2.652261 4.735577
## [,50] [,51] [,52] [,53] [,54] [,55]
## [1,] -6.150998 -6.085036 -9.6055550 -4.353972 -1.897141 -8.812663
## [2,] 6.494164 3.489233 0.4365524 6.685665 12.752822 8.215100
## [,56] [,57] [,58] [,59] [,60] [,61]
## [1,] -1.980931 -11.86742 -13.140192 -6.893679 -6.346485 -10.14052
## [2,] 3.766395 14.18468 5.199508 2.227835 4.464788 15.17004
## [,62] [,63] [,64] [,65] [,66] [,67]
## [1,] -3.747521 -9.777493 -7.35414 -0.6787719 -6.194166 -10.478279
## [2,] 6.875261 4.534412 11.73483 5.5648455 7.676974 3.255609
## [,68] [,69] [,70] [,71] [,72] [,73]
## [1,] -5.7547342 -5.9106421 -2.304991 -3.985478 -3.444156 -5.137991
## [2,] 0.4683256 0.5553768 3.758080 2.051852 7.588561 2.431249
## [,74] [,75] [,76] [,77] [,78] [,79]
## [1,] -11.808558 -11.09305 -6.051256 -10.409819 -10.221069 -4.499276
## [2,] 1.270958 3.54671 1.769293 2.034239 5.693259 3.933079
## [,80] [,81] [,82] [,83] [,84] [,85]
## [1,] -4.615139 -3.884761 -7.910954 -7.216138 -11.276805 -6.19987
## [2,] 6.126253 4.520337 2.896282 6.276880 8.673616 6.23168
## [,86] [,87] [,88] [,89] [,90] [,91]
## [1,] -0.7867715 -3.382170 -5.113004 -1.15082 -7.746543 -6.562557
## [2,] 5.3714483 6.379753 9.093195 12.09433 -1.975076 7.710102
## [,92] [,93] [,94] [,95] [,96] [,97]
## [1,] -11.432602 -16.110789 -12.91609 -2.565422 -4.353804 -8.211431
## [2,] 2.828417 7.202112 8.14490 2.610295 5.569381 2.481595
## [,98] [,99] [,100] [,101] [,102] [,103]
## [1,] -9.829364 -1.613340 -12.359512 -8.857638 -3.840184 -11.14048
## [2,] 5.553626 3.133866 -1.912603 8.323155 7.466171 -11.14048
## [,104] [,105] [,106] [,107] [,108] [,109]
## [1,] -5.863093 -2.240822 -7.9576731 -6.156772 -4.9490994 -3.989910
## [2,] 2.193522 7.322693 -0.5049115 -1.680819 0.9605291 4.944507
## [,110] [,111] [,112]
## [1,] -5.492197 -9.258944 -7.965049
## [2,] 6.966850 5.834927 1.918408
##
## $out
## [1] 79.59584 -58.78642 61.85259 48.09907 -85.31506 -49.31245 -46.84232
## [8] -52.19405 49.30989 -39.80109 -47.23072 -45.87177 -44.53999 -70.12637
## [15] -47.42996 -56.80315 -42.52026 -44.56104 -45.14494 -41.53373 -36.54770
## [22] 43.24252 -40.06476 -54.23187 -36.70701 -43.49438 -40.35548 36.17173
## [29] -30.72340 -32.72340 40.30549 45.06170 68.80587 -32.96559 -14.32382
## [36] 26.25836 59.76010 57.52391 50.88167 -33.55722 51.76079 48.88254
## [43] 45.00251 43.42856 60.69749 -41.72437 -58.46840 -36.12291 39.31332
## [50] -51.14726 48.27112 34.05645 39.87316 57.56501 -61.81680 56.33230
## [57] -46.76999 38.42241 -46.66293 -41.71311 -33.07176 -60.04672 -24.30112
## [64] 49.51421 -50.15653 62.81226 34.31416 51.26782 58.13875 -35.64072
## [71] 32.54272 -33.22274 29.68249 29.26378 32.66358 34.55296 32.90971
## [78] 30.89687 -40.79338 32.17384 46.75669 47.03186 -48.29451 -34.77943
## [85] -57.36717 50.62923 48.08063 -66.29291 -57.71080 -45.32999 25.33595
## [92] 39.64845 -26.44031 23.91685 -37.62984 41.29558 -37.91970 40.48420
## [99] 51.66013 46.54479 -53.40967 49.80095 -33.99703 53.25630 44.43223
## [106] -53.40076 46.00168 50.70770 62.47158 -54.76514 -47.67349 51.44713
## [113] 54.90508 54.90508 -53.48593 -66.72693 -71.31379
##
## $group
## [1] 1 1 1 9 9 9 10 12 13 13 13 13 13 14 14 14 14
## [18] 14 14 14 14 14 14 14 14 14 14 16 16 16 17 17 19 19
## [35] 22 22 23 23 24 30 31 31 31 31 32 40 41 42 42 43 43
## [52] 43 43 44 45 47 47 48 48 51 56 58 62 68 68 68 68 69
## [69] 69 70 71 71 71 71 72 73 73 73 73 76 77 77 79 81 82
## [86] 82 82 86 86 87 90 90 90 90 95 95 95 96 96 97 97 99
## [103] 99 100 100 100 100 100 100 105 105 107 107 107 107 108 109
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -52.975368 -42.483623 -31.615075 -24.1785464 -38.891781 -40.268728
## [2,] -14.766890 -14.062275 -11.004036 -11.6711175 -8.642923 -9.174204
## [3,] -1.071269 1.255501 2.078377 -0.9755958 1.273921 -5.638004
## [4,] 15.762654 15.964593 16.524297 9.8548419 11.734454 17.750130
## [5,] 58.253433 34.796875 40.066902 32.1909896 33.941314 41.746862
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -33.594717 -20.881351 -35.665085 -43.4534392 -35.780627 -48.125763
## [2,] -8.271240 -14.695615 -8.593425 -14.1791582 -21.367179 -13.556462
## [3,] 2.527303 -9.530361 1.267939 0.3271607 1.948445 4.343739
## [4,] 13.676325 6.873214 12.264459 15.1159080 16.632979 16.478707
## [5,] 29.841829 25.215415 39.131937 44.0730204 31.074670 37.889143
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -29.762224 -40.871046 -31.349702 -26.881556 -28.769073 -40.394753
## [2,] -8.994243 -9.243719 -11.608194 -8.598017 -13.594922 -14.345708
## [3,] 1.981624 3.590450 4.192207 -1.950826 -4.695103 2.067992
## [4,] 9.281876 12.840619 16.604475 5.476874 11.572090 14.245293
## [5,] 34.339091 43.604565 32.701006 18.569815 40.548398 30.709093
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -21.976171 -42.699093 -23.336613 -5.560738 -43.4632765 -33.677497
## [2,] -15.134039 -18.709848 -16.182013 -1.815781 -12.5970113 -9.704370
## [3,] -11.712047 -4.559494 -3.298997 2.246199 -0.7000782 1.908978
## [4,] 7.590295 13.483572 5.863983 6.029353 16.0213895 10.731628
## [5,] 26.037249 33.997356 17.639254 16.042912 39.3034066 40.206824
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -37.237884 -17.272519 -42.799667 -27.367180 -32.085278 -24.7553276
## [2,] -14.292975 -7.684720 -15.391056 -8.856320 -6.756859 -8.0576627
## [3,] 2.834395 -1.700300 5.590011 3.149691 5.425142 -0.2239945
## [4,] 15.794544 1.470838 15.900944 11.686415 12.091808 7.8633266
## [5,] 41.588898 9.171424 44.771327 38.068014 29.260744 25.1933924
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -53.94805 -28.078671 -36.0683244 -36.615112 -40.136156 -25.21884
## [2,] -19.74636 -13.790458 -8.8608544 -16.169791 -11.672879 -25.21884
## [3,] -4.67079 -3.463607 0.8267174 -1.915391 -2.397263 -17.80452
## [4,] 10.56925 14.308342 10.1378092 14.345543 15.920087 -10.39020
## [5,] 49.10861 36.080053 34.3922086 46.703009 22.229061 -10.39020
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -36.4611028 -20.46513015 -16.250172 -30.513364 -50.646200 -32.715797
## [2,] -36.4611028 -7.85124159 -9.157051 -9.607160 -14.505953 -13.284959
## [3,] -18.6875723 -0.01308331 -3.025096 0.303661 1.700181 -6.380527
## [4,] -0.9140417 13.12682983 6.939513 8.565570 13.248268 3.899480
## [5,] -0.9140417 38.56101491 29.495429 32.359437 44.503411 13.674274
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -27.281505 -48.894179 -30.404198 -30.549565 -36.047808 -37.7030032
## [2,] -13.097480 -14.157698 -14.826364 -12.243632 -12.422824 -10.0688123
## [3,] -2.977890 -5.208029 -2.102355 3.704834 -2.584391 -0.1008466
## [4,] 5.679052 10.761056 12.304989 9.017302 9.222880 9.5210547
## [5,] 22.089267 37.562786 46.884940 21.807901 29.504689 30.8750205
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -27.694523 -39.3813376 -30.59405831 -31.470689 -33.465625 -30.987994
## [2,] -11.718656 -11.7936048 -7.77028891 -9.316940 -7.452333 -9.453667
## [3,] -3.155056 0.3609954 -0.08979693 -5.007739 1.010803 0.598394
## [4,] 9.514878 13.4914627 9.37854122 14.911877 13.195907 13.292716
## [5,] 22.415079 32.4607947 29.35114074 29.707193 41.040794 36.298076
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -41.836257 -32.6889607 -29.229231 -59.854488 -41.4680677 -38.3759475
## [2,] -14.119341 -8.4907617 -4.853725 -14.679023 -9.9013556 -17.4453538
## [3,] -1.842946 0.1722116 4.768139 -4.733824 0.9300629 -0.1313211
## [4,] 10.233873 11.0932777 18.250167 20.551244 13.1157526 13.8068034
## [5,] 28.227338 33.5888799 39.414586 53.829776 33.5214847 35.8065866
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -11.4391730 -17.1788864 -19.985541 -35.0627581 -45.318289 -35.0275871
## [2,] -7.3428775 -7.5313639 -11.827673 -12.5665811 -11.528328 -8.7099849
## [3,] -3.2465821 0.2059804 2.829742 0.4773994 0.888533 0.1483081
## [4,] 0.6196307 6.3918652 7.196460 11.7807318 13.511719 14.3915860
## [5,] 4.4858435 9.3129836 31.911393 40.0282209 37.617513 43.4102521
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -29.376805 -36.3164489 -29.3709456 -30.822993 -28.729728 -19.97878997
## [2,] -16.549037 -11.0479097 -9.4911395 -9.762167 -10.082771 -11.89885658
## [3,] -2.958037 -0.9468153 -0.4944071 -1.253368 -1.640213 0.05161738
## [4,] 16.839097 7.9762233 9.0176594 6.389166 12.632131 8.66701134
## [5,] 36.063159 30.6645696 29.5329934 26.058337 29.215383 19.94398493
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -27.9217054 -26.854735 -28.276277 -26.540917 -23.741826 -29.400482
## [2,] -10.7975486 -10.576833 -24.148846 -11.155871 -11.718016 -13.664366
## [3,] -0.7975486 -4.015084 -8.080971 -3.637495 -1.287158 -2.026386
## [4,] 6.8449851 6.906252 11.064937 6.228996 4.764205 8.326003
## [5,] 31.1609465 32.295967 44.003958 31.561195 28.339719 40.334865
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -30.7236197 -35.2323159 -34.385920 -31.799458 -53.603500 -31.858900
## [2,] -12.2075404 -11.3778203 -8.530172 -12.853672 -13.051310 -15.488363
## [3,] -0.3062288 -0.8230332 0.329012 -4.488977 -3.820169 2.505102
## [4,] 13.8039173 11.6021892 12.511013 9.152863 17.581321 21.209322
## [5,] 39.2572994 32.1403148 22.741279 36.821365 48.654727 39.116967
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -37.353527 -41.326862 -44.454341 -48.642560 -36.325201 -16.950722
## [2,] -14.225962 -12.925444 -12.955854 -16.997509 -13.682667 -7.399963
## [3,] -2.040144 2.697659 0.379911 1.752994 3.214266 -5.514322
## [4,] 13.241106 14.159919 9.337040 14.938263 13.457030 3.049278
## [5,] 39.337638 47.431232 35.071071 46.089595 35.571732 16.437412
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -30.602877 -28.801316 -37.094809 -23.095846 -35.686720 -57.119752
## [2,] -11.666861 -14.130411 -18.761476 -16.990403 -9.449752 -13.276002
## [3,] 1.167473 -2.069948 4.911726 -4.049624 1.350649 1.245341
## [4,] 13.162416 11.045055 17.608693 1.987423 8.220182 19.122555
## [5,] 34.078739 26.330122 35.777991 12.010344 32.501982 47.912008
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -35.88038 -27.598920 -32.1919465 -38.123685 -41.2751123 -37.555575
## [2,] -12.34418 -8.381802 -9.0255068 -15.999337 -13.5198603 -11.682992
## [3,] -4.70864 -2.163242 0.6808537 -5.249700 -0.7739482 1.189809
## [4,] 9.32249 7.672681 9.4451775 8.905981 15.2040070 7.694588
## [5,] 33.31514 25.837214 36.7278386 44.055464 46.8387872 26.972253
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -10.78964 -28.939746 -40.46937911 -35.393965 -46.498035 -52.105066
## [2,] -10.78964 -11.297213 -10.98471313 -13.397755 -13.038862 -15.699790
## [3,] -10.78964 -3.194146 -0.03632628 -3.858266 -2.232676 -2.013436
## [4,] -10.78964 9.623854 11.99768907 10.559436 12.951479 16.256899
## [5,] -10.78964 35.424255 45.56096029 37.960032 50.896321 55.433372
## [,109] [,110] [,111] [,112]
## [1,] -54.6137055 -36.644436 -28.57179 -41.137548
## [2,] -16.3630478 -8.030733 -12.43238 -15.985096
## [3,] -0.3031973 1.030983 -1.60414 -1.494281
## [4,] 19.4762484 13.958585 10.41894 14.183543
## [5,] 54.3591168 31.952050 33.42430 54.521627
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -4.251902 -3.920895 -8.795315 -8.580690 -7.655714 -16.273116
## [2,] 2.109363 6.431897 12.952068 6.629499 10.203556 4.997108
## [,7] [,8] [,9] [,10] [,11] [,12] [,13]
## [1,] -7.090409 -24.77084 -1.431877 -6.154204 -13.06162 -1.411094 0.1589705
## [2,] 12.145015 5.71012 3.967755 6.808526 16.95851 10.098572 3.8042782
## [,14] [,15] [,16] [,17] [,18] [,19]
## [1,] 1.374726 -4.085351 -5.944948 -11.954961 -7.153068 -20.982536
## [2,] 5.806174 12.469766 2.043295 2.564754 11.289051 -2.441559
## [,20] [,21] [,22] [,23] [,24] [,25]
## [1,] -15.404077 -16.464510 -0.9542567 -8.571360 -2.958753 -4.877332
## [2,] 6.285089 9.866516 5.4466549 7.171204 6.776709 10.546122
## [,26] [,27] [,28] [,29] [,30] [,31]
## [1,] -4.784415 -2.131433 -1.743464 -0.7846041 -4.416522 -13.273646
## [2,] 1.383815 13.311454 8.042846 11.6348874 3.968533 3.932067
## [,32] [,33] [,34] [,35] [,36] [,37]
## [1,] -12.007641 -4.653774 -9.841762 -15.54222 -34.371499 -58.40177
## [2,] 5.080427 6.307209 6.010979 10.74769 -1.237532 21.02663
## [,38] [,39] [,40] [,41] [,42] [,43]
## [1,] -6.778850 -8.574938 -2.757146 -2.269963 -12.6094880 -8.394304
## [2,] 6.752684 2.524746 3.364468 5.670325 -0.1515652 2.438524
## [,44] [,45] [,46] [,47] [,48] [,49] [,50]
## [1,] -12.061751 -9.680336 -3.29964 -7.327107 -3.539957 -8.459616 -6.490443
## [2,] 1.645692 5.475627 10.70931 2.158325 3.338263 2.149504 7.212434
## [,51] [,52] [,53] [,54] [,55] [,56]
## [1,] -4.428494 -11.217823 -4.213253 -5.014379 -8.441882 -3.354046
## [2,] 4.248900 1.202345 6.234859 6.211167 4.755990 3.698469
## [,57] [,58] [,59] [,60] [,61] [,62]
## [1,] -9.029133 -15.866588 -4.431963 -7.258480 -10.510089 -6.144498
## [2,] 18.565410 6.398941 6.292089 6.995838 4.016925 6.556459
## [,63] [,64] [,65] [,66] [,67] [,68]
## [1,] -4.255027 -6.219151 -2.352617 -6.304127 -11.098040 -4.372257
## [2,] 9.914511 7.173950 4.129683 6.600743 5.181967 2.478627
## [,69] [,70] [,71] [,72] [,73] [,74]
## [1,] -3.576985 -4.088824 -6.393899 -6.723865 -4.952939 -9.058381
## [2,] 2.588171 1.582088 3.113473 6.827100 3.357841 1.028213
## [,75] [,76] [,77] [,78] [,79] [,80]
## [1,] -21.575114 -7.6441272 -5.689044 -9.608319 -4.959673 -5.226075
## [2,] 5.413172 0.3691381 3.114728 5.555547 4.347215 3.580009
## [,81] [,82] [,83] [,84] [,85] [,86]
## [1,] -4.520280 -9.6722313 -11.288383 -9.091367 -8.304101 -0.5845578
## [2,] 5.178304 0.6942769 3.648045 14.101570 4.223813 5.9798759
## [,87] [,88] [,89] [,90] [,91] [,92] [,93]
## [1,] -4.757859 -6.225198 -3.652145 -8.304988 -5.196515 -8.609285 -6.147393
## [2,] 5.517681 9.731187 10.080677 -2.723657 7.531461 4.469389 15.970845
## [,94] [,95] [,96] [,97] [,98] [,99]
## [1,] -14.650910 -1.197949 -7.665645 -10.1903604 -9.485799 -1.950550
## [2,] 6.551662 3.899248 10.156327 0.7730805 5.159316 3.312258
## [,100] [,101] [,102] [,103] [,104] [,105]
## [1,] -11.0516 -8.796730 -3.843525 -10.78964 -7.1735344 -4.685626
## [2,] 0.5522 7.248834 6.223143 -10.78964 0.7852428 4.612974
## [,106] [,107] [,108] [,109] [,110] [,111]
## [1,] -7.5348125 -4.51405053 -4.9045752 -5.677908 -4.680751 -9.30177
## [2,] -0.1817199 0.04869813 0.8777024 5.071513 6.742717 6.09349
## [,112]
## [1,] -6.080987
## [2,] 3.092425
##
## $out
## [1] 67.47810 -47.91383 47.15812 -43.55283 -84.75530 -48.13962 46.39679
## [8] -38.24724 -51.99871 37.67242 -51.29309 42.37838 42.74237 -47.21244
## [15] -44.68504 -43.76981 -44.09865 -43.70183 -42.87758 -64.97848 -45.89395
## [22] -51.90434 -44.77451 -46.37190 46.04725 36.19507 37.24527 59.86596
## [29] -18.65990 -26.40004 -62.80132 61.19686 49.75576 33.20866 24.45649
## [36] -24.30588 21.17376 25.42677 -36.05884 59.43033 60.07222 41.51941
## [43] 34.26516 33.30888 39.74221 45.61145 -41.89496 35.31543 46.60012
## [50] 48.83086 44.92790 38.97809 -49.51950 51.51834 -48.01947 -49.24727
## [57] 46.79094 53.23380 -50.92665 54.69769 41.61566 -44.07452 36.96700
## [64] 34.09092 -39.14477 -39.42212 32.69280 41.36479 33.44017 36.59719
## [71] 45.28231 47.60686 45.24939 -56.66817 -64.47799 25.00101 36.22109
## [78] 38.74008 -35.54569 50.52972 41.52611 -37.49802 -56.19056 47.39816
## [85] -46.12778 -37.73101 -38.20355 -39.38764 42.46731 40.61005 51.18266
## [92] 48.82520 60.20680 -45.47071 -48.88523 -55.64484 53.45694 54.32884
## [99] 54.32884 65.52114
##
## $group
## [1] 1 4 4 9 9 9 9 13 13 13 13 13 13 13 13 14 14
## [18] 14 14 14 14 14 14 14 14 16 16 19 22 22 23 23 24 26
## [35] 26 26 26 26 26 31 32 33 39 39 40 40 40 42 43 44 47
## [52] 48 48 49 51 54 55 62 65 68 68 69 70 70 73 74 76 76
## [69] 77 77 77 82 82 86 86 90 90 90 90 92 95 95 95 97 99
## [86] 99 99 99 99 99 100 100 100 105 105 105 107 107 107 108
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5]
## [1,] -44.9195591 -49.508220 -12.299130 -29.9603882 -14.279046065
## [2,] -13.5622502 -15.088586 -4.347759 -10.5061891 -8.048586501
## [3,] -0.7675704 -1.364823 -1.107263 -0.4403256 0.003209472
## [4,] 14.3612828 15.779121 6.423455 7.1836843 8.912400560
## [5,] 53.5438592 44.925984 14.754567 32.4115424 24.549731664
## [,6] [,7] [,8] [,9] [,10] [,11]
## [1,] -21.4629785 -34.822029 -23.112709 -34.911666 -52.757100 -33.26434
## [2,] -13.0446182 -13.428316 -17.536071 -9.544144 -16.237094 -15.56088
## [3,] -0.7365461 1.280924 -3.604942 1.912969 2.090976 -2.94235
## [4,] 16.5277781 5.118820 -2.200021 12.278328 10.912840 11.16728
## [5,] 40.4174900 26.369438 18.685346 39.937903 33.971445 20.80717
## [,12] [,13] [,14] [,15] [,16] [,17]
## [1,] -43.25572 -34.120025 -40.890916 -29.782889 -31.290161 -37.341740
## [2,] -14.57905 -8.309608 -8.396345 -11.663358 -11.080158 -12.942688
## [3,] 1.45869 1.927182 2.415386 4.318156 1.223954 -5.459741
## [4,] 15.24919 9.704137 13.341372 16.796282 6.736585 9.229369
## [5,] 55.26811 36.713380 40.732052 32.695237 20.346749 39.429986
## [,18] [,19] [,20] [,21] [,22] [,23]
## [1,] -27.820821 -19.554785 -37.732089 -20.022271 -13.433952 -45.6557988
## [2,] -14.060483 -14.985403 -15.689455 -15.410298 -3.906793 -14.9706455
## [3,] -3.673715 -11.084600 -8.207341 -9.067062 -0.545234 -0.1844473
## [4,] 13.760293 -4.618517 7.533236 -3.783208 3.956814 13.7465436
## [5,] 31.153762 1.159666 32.700839 1.002990 8.361135 41.3578748
## [,24] [,25] [,26] [,27] [,28] [,29]
## [1,] -30.321364 -52.396638 -38.366681 -30.3873239 -27.680728 -15.177936
## [2,] -10.188291 -12.133473 -8.302198 -14.8392848 -6.397007 -8.810098
## [3,] 2.902168 1.243949 -3.322933 -0.3206393 2.844510 6.444983
## [4,] 11.806223 18.534462 18.218187 15.7667647 10.998655 13.325452
## [5,] 37.200510 35.707570 31.824194 45.2810602 30.866407 31.372548
## [,30] [,31] [,32] [,33] [,34] [,35]
## [1,] -24.621876 -40.987917 -33.080149 -34.7611604 -46.851592 -34.775719
## [2,] -7.923616 -17.802171 -12.320799 -9.9749622 -15.541297 -19.706984
## [3,] 2.171097 -2.024872 -6.444051 0.9432697 -1.610306 4.965546
## [4,] 7.586599 11.461775 12.489648 16.0940469 18.389694 13.305373
## [5,] 26.935339 50.620741 42.208422 42.7607136 47.534487 16.742231
## [,36] [,37] [,38] [,39] [,40] [,41]
## [1,] -13.409309 -8.091771 -29.160324 -21.1610142 -39.3111896 -46.3085450
## [2,] -13.409309 -8.091771 -6.847114 -9.2481087 -9.3962165 -13.0901459
## [3,] -10.859033 -2.183585 5.166119 0.1542337 0.8175853 -0.3643807
## [4,] -8.308758 3.724601 16.129231 4.8172336 10.8542609 13.1489172
## [5,] -8.308758 3.724601 27.390729 15.0930753 40.4507399 37.0703380
## [,42] [,43] [,44] [,45] [,46] [,47]
## [1,] -30.337018 -38.197969 -34.481125 -44.065226 -29.918139 -40.529813
## [2,] -11.790727 -10.592405 -13.692323 -15.371388 -11.932945 -11.249463
## [3,] -5.669079 -1.436936 -2.409512 2.649933 1.962330 -2.144495
## [4,] 4.236086 8.122261 8.576025 13.568977 9.221477 12.017216
## [5,] 19.244567 18.969673 34.180449 55.334954 22.389933 32.154521
## [,48] [,49] [,50] [,51] [,52] [,53]
## [1,] -28.891450 -26.565654 -38.0442299 -36.6402261 -25.079545 -34.3105024
## [2,] -8.900120 -10.540393 -12.4028245 -9.6147879 -9.865744 -7.1146082
## [3,] -2.233453 -1.993258 0.4178783 0.5832641 -4.046858 0.4391695
## [4,] 7.766547 10.399841 14.6039501 11.4637068 13.433273 14.1340634
## [5,] 32.292713 23.774454 33.6661847 31.6775086 29.108995 30.7195839
## [,54] [,55] [,56] [,57] [,58] [,59]
## [1,] -27.3331743 -24.905762 -28.721769 -21.636749 -58.170063 -35.4928245
## [2,] -9.6543239 -14.853963 -6.927680 -3.986993 -17.484909 -11.7350163
## [3,] -0.1379106 -1.980275 0.594194 1.675254 -3.296369 0.2336079
## [4,] 13.1482060 13.514274 13.106750 16.811405 15.250766 10.5098374
## [5,] 35.9538877 42.616112 28.767942 24.879329 55.250766 33.0543107
## [,60] [,61] [,62] [,63] [,64] [,65]
## [1,] -36.780703 -16.997837 -20.7012283 -19.4258983 -33.162019 -36.614761
## [2,] -14.428539 -15.465374 -11.6568174 -11.1363129 -15.696257 -12.299802
## [3,] 1.695103 -13.932911 -0.1433574 0.8848838 -7.137346 -1.991512
## [4,] 13.510746 -4.839572 7.0486011 7.8384259 13.755036 12.439395
## [5,] 32.934166 4.253768 29.8812470 32.4545702 44.644265 46.840519
## [,66] [,67] [,68] [,69] [,70]
## [1,] -32.1991265 -36.9457648 -26.664929 -35.7200413 -28.2899592
## [2,] -9.9879698 -9.1068016 -11.594133 -10.6257506 -9.3890259
## [3,] 0.7619659 0.5353764 -1.166529 -0.8989444 0.4409202
## [4,] 11.7384015 14.1390359 7.808210 7.9213846 7.7052444
## [5,] 27.6758668 30.8931984 30.360129 29.6450780 31.7325225
## [,71] [,72] [,73] [,74] [,75] [,76]
## [1,] -22.5581294 -21.907342 -26.252983 -32.6875321 -42.9813393 -27.640085
## [2,] -6.1548636 -10.111900 -8.979956 -17.0418676 -17.8875007 -11.263776
## [3,] -0.3474055 1.853595 -3.250758 -0.6444172 0.2097993 -3.019923
## [4,] 5.2980012 7.322478 6.603836 13.1281863 14.3330756 5.421669
## [5,] 21.8527855 21.867580 29.339512 38.1885459 27.3460645 27.538860
## [,77] [,78] [,79] [,80] [,81] [,82]
## [1,] -42.839234 -35.961930 -34.613500 -38.202454 -33.6509347 -34.205310
## [2,] -14.383173 -12.904033 -9.443623 -12.645651 -10.4026283 -11.592529
## [3,] -2.545647 -2.451289 -1.622252 -2.476021 0.5376059 -3.045394
## [4,] 13.461998 4.840570 12.162976 13.806789 13.2295338 8.835075
## [5,] 47.147997 26.854330 38.675908 41.090237 28.0589547 31.313201
## [,83] [,84] [,85] [,86] [,87] [,88]
## [1,] -59.721751 -29.1845277 -34.8792039 -47.860522 -38.661932 -42.743063
## [2,] -13.603892 -10.4701754 -12.7655359 -11.712603 -9.187967 -18.321551
## [3,] 1.258681 0.7424546 -0.3724368 1.679853 3.816194 2.484909
## [4,] 18.534126 18.2498504 13.6873289 14.548386 11.037513 13.648590
## [5,] 45.628397 46.8416404 43.6873289 43.658054 33.073572 44.929954
## [,89] [,90] [,91] [,92] [,93] [,94]
## [1,] -34.958852 -19.805199 -39.947862 -42.603289 -37.10127577 -35.372035
## [2,] -10.954713 -9.805199 -12.171129 -16.058166 -15.43208702 -15.217934
## [3,] -2.015279 -4.591398 5.334073 -1.780416 0.08497085 -2.587538
## [4,] 13.588283 5.873706 12.187466 13.621489 13.38284345 2.013507
## [5,] 38.444757 22.245323 34.067934 50.180897 35.80445393 3.817344
## [,95] [,96] [,97] [,98] [,99] [,100]
## [1,] -38.1152841 -39.8744299 -33.639039 -28.704611 -32.251232 -29.998296
## [2,] -10.8072120 -12.3415501 -14.667602 -15.834612 -8.114912 -16.922512
## [3,] 0.8157068 -0.7186313 -5.349453 -4.623659 0.803708 -5.951428
## [4,] 7.8064874 14.3925687 8.264512 9.867347 8.655619 13.932695
## [5,] 31.8847159 49.5389184 42.550164 32.134967 30.973762 60.001704
## [,101] [,102] [,103] [,104] [,105] [,106]
## [1,] -38.555616 -29.886680 -12.32963 -28.815224 -44.354317 -34.478498
## [2,] -12.421637 -9.613752 -12.32963 -11.453386 -11.438584 -12.825575
## [3,] -1.068063 -3.544743 -12.32963 -3.003765 1.039542 -4.745537
## [4,] 10.114786 6.965418 -12.32963 9.474361 12.064803 9.985263
## [5,] 40.525766 26.976412 -12.32963 39.369814 46.083290 39.513042
## [,107] [,108] [,109] [,110] [,111] [,112]
## [1,] -47.716092 -48.390232 -54.9007516 -38.169837 -29.4777411 -37.606114
## [2,] -13.346644 -16.285813 -16.2993906 -10.818017 -13.2752800 -16.656729
## [3,] -1.741014 -1.216233 -0.2887214 -2.270882 -0.7264127 -1.440088
## [4,] 11.912333 15.227127 17.3391579 15.894293 9.9118852 13.793851
## [5,] 43.739091 57.199523 55.1213385 35.502490 32.4973250 53.501764
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6] [,7]
## [1,] -3.676703 -6.686173 -5.361892 -6.690136 -7.429318 -12.41764 -6.846674
## [2,] 2.141562 3.956527 3.147367 5.809484 7.435737 10.94455 9.408523
## [,8] [,9] [,10] [,11] [,12] [,13]
## [1,] -14.441357 -0.9117024 -3.915791 -13.49997 -4.256495 0.1306944
## [2,] 7.231472 4.7376402 8.097743 7.61527 7.173875 3.7236697
## [,14] [,15] [,16] [,17] [,18] [,19]
## [1,] 0.2344389 -4.031864 -3.832017 -11.8556528 -12.646365 -15.313815
## [2,] 4.5963337 12.668175 6.279925 0.9361706 5.298934 -6.855385
## [,20] [,21] [,22] [,23] [,24] [,25]
## [1,] -16.0300705 -16.010572 -3.753226 -8.082900 -2.336792 -6.616545
## [2,] -0.3846123 -2.123551 2.662758 7.714006 8.141129 9.104442
## [,26] [,27] [,28] [,29] [,30] [,31]
## [1,] -12.256514 -7.872821 -1.299031 -0.8476351 -1.913260 -10.329288
## [2,] 5.610648 7.231543 6.988052 13.7376012 6.255453 6.279545
## [,32] [,33] [,34] [,35] [,36] [,37]
## [1,] -13.98819 -6.576785 -10.423895 -10.76114 -16.557516 -15.38518
## [2,] 1.10009 8.463324 7.203282 20.69223 -5.160551 11.01800
## [,38] [,39] [,40] [,41] [,42] [,43]
## [1,] -2.244123 -4.695275 -2.593174 -4.117786 -11.4784282 -6.835504
## [2,] 12.576361 5.003742 4.228344 3.389025 0.1402698 3.961631
## [,44] [,45] [,46] [,47] [,48] [,49]
## [1,] -8.534259 -5.433319 -5.007053 -7.242378 -5.1593794 -7.224546
## [2,] 3.715234 10.733185 8.931712 2.953387 0.6924724 3.238030
## [,50] [,51] [,52] [,53] [,54] [,55]
## [1,] -6.900087 -4.749647 -10.018626 -4.936797 -5.764539 -9.667152
## [2,] 7.735844 5.916176 1.924909 5.815136 5.488717 5.706603
## [,56] [,57] [,58] [,59] [,60] [,61]
## [1,] -3.013160 -10.74521 -13.640842 -4.948515 -4.676545 -23.625910
## [2,] 4.201548 14.09572 7.048105 5.415731 8.066751 -4.239911
## [,62] [,63] [,64] [,65] [,66] [,67]
## [1,] -8.675024 -6.181491 -15.2377089 -5.193720 -5.306366 -5.131942
## [2,] 8.388310 7.951258 0.9630173 1.210696 6.830297 6.202695
## [,68] [,69] [,70] [,71] [,72] [,73] [,74]
## [1,] -4.660071 -3.987907 -2.560074 -2.744217 -3.890209 -6.921248 -9.347489
## [2,] 2.327012 2.190018 3.441914 2.049405 7.597399 0.419731 8.058654
## [,75] [,76] [,77] [,78] [,79] [,80]
## [1,] -12.13733 -6.8653622 -9.982221 -8.569349 -5.487668 -7.544392
## [2,] 12.55693 0.8255162 4.890928 3.666771 2.243164 2.592349
## [,81] [,82] [,83] [,84] [,85] [,86]
## [1,] -4.908820 -7.856758 -6.576545 -8.333074 -6.405101 -1.502466
## [2,] 5.984032 1.765971 9.093908 9.817983 5.660228 4.862172
## [,87] [,88] [,89] [,90] [,91] [,92]
## [1,] -0.8451055 -5.50187 -8.224718 -8.7787431 -0.909275 -9.489718
## [2,] 8.4774931 10.47169 4.194160 -0.4040521 11.577420 5.928886
## [,93] [,94] [,95] [,96] [,97] [,98]
## [1,] -8.676818 -12.213269 -1.869014 -8.071655 -11.1513349 -16.346495
## [2,] 8.846760 7.038192 3.500428 6.634393 0.4524286 7.099178
## [,99] [,100] [,101] [,102] [,103] [,104]
## [1,] -1.585486 -13.139405 -7.362648 -7.8511896 -12.32963 -6.9844242
## [2,] 3.192902 1.236548 5.226522 0.7617029 -12.32963 0.9768949
## [,105] [,106] [,107] [,108] [,109] [,110]
## [1,] -3.715153 -8.246160 -3.9581905 -4.067225 -5.333392 -9.209415
## [2,] 5.794236 -1.244913 0.4761632 1.634760 4.755950 4.667651
## [,111] [,112]
## [1,] -8.537175 -6.069659
## [2,] 7.084349 3.189483
##
## $out
## [1] 57.23895 40.26649 -27.70135 26.93377 -42.76788 -83.68659 -64.86258
## [8] -56.43903 47.13970 50.20637 37.22124 38.16657 -41.43272 -39.45563
## [15] -49.90122 -47.23328 -58.66581 -45.59469 -56.12678 -55.37398 -60.40710
## [22] -54.04010 -43.11149 -66.65220 61.93806 -45.31429 -44.99196 -63.04769
## [29] 38.96422 46.97302 36.01015 44.33973 65.58207 17.54333 50.38347
## [36] 21.00299 30.94646 58.79029 52.41431 37.10547 -46.88383 57.11280
## [43] 35.53809 30.75189 -44.44308 55.59392 53.50759 50.69041 -41.79776
## [50] 38.14004 34.42069 -38.99826 37.93660 -35.93195 40.58071 -42.55470
## [57] -38.73449 -39.90165 52.76446 38.66851 37.94345 -45.28221 -53.11982
## [64] 35.95011 -41.03240 -51.32376 -26.46909 38.17169 -41.96388 -38.38198
## [71] 27.65111 -26.50127 31.96379 28.80139 34.07594 40.69981 -36.70854
## [78] 31.92250 44.44892 -50.14892 49.69028 47.38221 -54.27942 -63.65110
## [85] -58.41295 -44.02494 39.86310 35.83621 34.48925 28.99213 40.85945
## [92] 49.52424 -43.92605 45.01620 -41.05499 -55.81893 -54.00421 64.24987
## [99] 58.85180 59.82918 -52.16430 -60.63002 55.77437 55.77437 -67.22244
##
## $group
## [1] 1 3 3 3 9 9 9 9 9 9 13 13 13 13 13 13 13
## [18] 13 13 14 14 14 14 14 14 14 14 14 16 16 16 17 19 19
## [35] 20 21 22 23 24 28 29 32 39 39 40 41 42 43 43 48 48
## [52] 48 48 48 48 56 56 56 68 68 68 68 68 69 70 70 71 71
## [69] 71 71 71 71 71 71 73 76 76 76 78 82 82 82 84 86 87
## [86] 87 90 90 90 94 95 97 99 99 99 101 105 107 107 107 107 107
## [103] 107 107 108
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -49.0941480 -43.470169 -16.408417 -31.244218 -15.9615500 -22.6494681
## [2,] -14.3491163 -14.803633 -8.333018 -18.006080 -5.4685949 -9.6004198
## [3,] -0.8373246 2.080794 -1.350929 -4.788879 0.1652414 -0.3979381
## [4,] 14.8777774 16.568308 5.641032 14.012205 8.0096190 13.2698635
## [5,] 56.2460355 60.379473 14.695517 37.187011 9.9584058 39.1593411
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -25.063626 -27.395313 -43.496820 -38.0543298 -35.725398 -37.421415
## [2,] -13.043108 -12.443142 -11.575813 -14.7731511 -20.536526 -12.150124
## [3,] -7.785661 -5.521222 1.431297 -0.9221918 2.242768 -1.411297
## [4,] 7.103369 -1.186577 12.316862 13.7935231 12.404465 13.709046
## [5,] 19.718648 -1.186577 46.227799 36.8070127 30.849222 46.152739
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -34.615857 -40.738412 -32.476346 -25.7904142 -37.326309 -29.484853
## [2,] -9.484127 -8.712480 -12.373247 -5.1079727 -17.123527 -14.156916
## [3,] 1.081841 2.986876 5.133803 0.6211951 -6.303771 -1.702258
## [4,] 10.347297 13.399933 15.817944 10.4156434 9.067655 10.093937
## [5,] 36.345971 38.734234 30.288417 32.6251713 45.188784 25.429771
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -22.991024 -25.643198 -20.802287 -11.463394 -42.298876 -35.015235
## [2,] -17.492870 -21.139704 -17.299467 -4.021960 -15.166738 -13.203324
## [3,] -11.504156 -6.420577 -9.277762 -1.360295 -4.210784 4.142962
## [4,] 5.181761 7.590668 1.263290 4.710996 10.018621 12.033605
## [5,] 25.792152 35.678968 20.437952 14.965279 40.557989 49.218975
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -27.6825493 -36.322436 -31.845140 -27.822732 -30.043947 -32.249852
## [2,] -7.7935727 -11.152331 -16.159881 -8.344541 -8.132391 -7.508550
## [3,] 0.4193811 -1.851963 -1.266264 3.760297 6.057817 4.067523
## [4,] 13.6452101 11.420739 16.612462 11.750841 12.866627 11.948712
## [5,] 37.3485698 30.782108 43.777504 37.035126 21.427700 31.786537
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -43.773320 -38.926741 -35.184466 -51.345564 -32.93158 -15.042653
## [2,] -21.431673 -15.137152 -10.326609 -15.451737 -18.26309 -15.042653
## [3,] -3.967591 -2.234199 1.340058 -2.118404 -3.33550 -11.851089
## [4,] 15.474774 14.722904 15.384104 15.219932 11.73038 -8.659525
## [5,] 56.058982 38.009874 42.050770 47.313026 22.81371 -8.659525
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -19.952883 -29.191758 -23.130210 -30.42797663 -34.0857044 -21.324525
## [2,] -19.952883 -15.379325 -12.694837 -10.27119820 -13.5354826 -10.996042
## [3,] -12.125090 2.380884 -6.851635 -0.08385861 0.5601128 -2.133182
## [4,] -4.297298 17.034732 13.553064 9.86630392 13.1311841 6.492825
## [5,] -4.297298 38.425883 34.927783 39.38581894 44.5713017 16.526594
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -33.727289 -40.907143 -32.12426 -29.903821 -20.914745 -33.8265219
## [2,] -12.972126 -14.107270 -12.86659 -11.906322 -8.963793 -8.7051400
## [3,] -3.691913 -6.484649 1.20113 1.904988 -1.118425 -0.5139491
## [4,] 9.242035 15.142974 11.49266 8.623204 7.962518 10.3967323
## [5,] 38.188597 34.536371 30.24750 22.189273 23.810607 38.6331956
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -27.352356 -40.273389 -30.3036585 -23.289059 -33.590893 -36.197488
## [2,] -9.178777 -10.170291 -10.2625409 -11.480250 -7.402883 -11.052951
## [3,] -3.112176 -1.117206 0.3060292 -3.573344 1.381276 4.275179
## [4,] 9.792288 12.775659 11.4041258 10.044274 14.588289 12.664378
## [5,] 31.814653 34.799640 31.5462683 30.612844 31.894344 34.601001
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -34.271614 -30.4406790 -16.4707366 -27.942119 -34.169403 -34.7520699
## [2,] -18.390307 -6.8658269 -1.4936765 -13.937117 -12.779209 -9.1319504
## [3,] -4.386656 0.9751686 0.7057585 -4.608786 -2.644879 0.7202734
## [4,] 15.614695 10.0851249 10.8689379 13.866690 10.961274 9.9508315
## [5,] 45.217343 35.2156250 18.1557599 53.866690 34.306073 36.0733867
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -12.200641 -28.511574 -20.082090 -34.5211509 -48.465498 -32.836751
## [2,] -6.841394 -11.361915 -11.219230 -16.4238913 -12.023935 -9.771883
## [3,] -1.482147 -4.660785 1.442434 -0.9077239 1.164629 1.054284
## [4,] 15.124721 8.748726 8.033080 13.0558925 14.209727 14.407685
## [5,] 31.731589 22.973518 31.726720 40.7385761 39.752676 35.299273
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -34.984506 -30.635292 -22.2258684 -24.8656711 -29.696302 -20.547243
## [2,] -16.585178 -9.090440 -10.2358729 -10.0329305 -9.269217 -14.579395
## [3,] -4.636477 -1.664427 -0.9465856 -0.3731693 -2.602550 2.786090
## [4,] 16.564718 7.095334 9.0509615 7.2494513 13.420747 9.220021
## [5,] 37.757780 28.051288 33.3488456 31.9423371 39.480302 18.039475
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -32.674865 -36.444228 -27.040261 -27.133416 -36.465323 -27.743873
## [2,] -11.424846 -12.568506 -15.310145 -10.151447 -10.893286 -16.243115
## [3,] -2.955419 -3.620989 -8.333823 -3.022515 -1.713067 -2.021293
## [4,] 7.044581 12.936509 11.844928 5.520027 6.467843 15.630568
## [5,] 29.838858 48.205157 44.676601 25.520027 21.757958 38.963901
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -34.061788 -46.369547 -34.3328838 -50.503558 -39.67556447 -33.944083
## [2,] -8.721488 -12.168278 -7.9104760 -14.081945 -12.65761565 -14.637146
## [3,] -1.878744 -2.487964 -0.1466952 -2.841705 0.04991837 1.585443
## [4,] 10.178882 13.717543 12.4759254 12.687821 20.78536221 17.967825
## [5,] 31.950181 34.029077 30.3532961 49.819959 49.04809476 45.521443
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -31.2735027 -44.771848 -38.5698188 -39.979786 -34.622749 -18.563965
## [2,] -13.8817374 -11.772591 -10.0427935 -17.869977 -13.329496 -8.421822
## [3,] -0.5112406 1.882477 -0.6629131 1.216872 -1.820084 -4.653855
## [4,] 13.2485203 14.201213 10.2839504 14.777005 14.137012 2.198297
## [5,] 42.3441157 47.744237 32.6531367 45.708742 37.186061 15.441038
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -29.663293 -29.7621646 -37.507802 -21.349417 -36.5610861 -38.8950658
## [2,] -14.521151 -16.7131163 -19.174468 -18.712016 -10.3839635 -11.1436525
## [3,] 4.200558 0.6252193 6.109817 -6.169851 0.5835576 0.6651567
## [4,] 12.527553 11.8811573 14.150702 2.825249 9.2527254 13.8334859
## [5,] 33.385755 49.6692653 35.541247 9.208859 34.9181870 47.3318234
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -33.441129 -18.866021 -33.4834387 -44.650312 -38.104010 -31.007543
## [2,] -11.920691 -13.925488 -8.5320510 -16.611215 -14.553032 -12.049746
## [3,] -4.578270 -4.107432 0.3876521 -5.616218 -2.755851 -4.368568
## [4,] 8.031845 10.247487 8.3036159 11.192592 11.117245 5.769907
## [5,] 26.938495 25.628797 30.2526242 50.908307 49.599155 27.623887
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -12.04209 -39.9610204 -40.240737 -33.607244 -43.909140 -56.943203
## [2,] -12.04209 -11.8529505 -10.697451 -13.188098 -12.584351 -17.569442
## [3,] -12.04209 -0.8969965 1.515681 -4.034373 -3.010489 -1.818375
## [4,] -12.04209 9.7892052 13.307551 8.880139 12.091006 16.276054
## [5,] -12.04209 35.4853851 46.537785 38.122998 48.162977 62.274195
## [,109] [,110] [,111] [,112]
## [1,] -54.712392 -37.381061 -28.8881713 -44.8675236
## [2,] -16.909052 -9.459299 -12.4112704 -17.5156388
## [3,] -2.196893 1.780940 -0.5027626 -0.9914101
## [4,] 21.512454 13.849658 10.1514999 16.6018332
## [5,] 64.019761 29.016177 32.9954149 53.3697508
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -3.882244 -3.327482 -6.870679 -16.100899 -5.741089 -9.431700
## [2,] 2.207595 7.489070 4.168821 6.523141 6.071572 8.635824
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -16.61411 -13.475082 -1.661338 -7.242404 -10.76892 -6.365995
## [2,] 1.04279 2.432638 4.523933 5.398021 15.25446 3.543401
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -0.895922 0.7683354 -3.137454 -3.784040 -13.859068 -9.523550
## [2,] 3.059603 5.2054168 13.405060 5.026431 1.251527 6.119033
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -20.754368 -16.098608 -20.363141 -4.922942 -11.137833 -1.868322
## [2,] -2.253944 3.257454 1.807616 2.202351 2.716265 10.154247
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -5.075590 -9.455862 -9.352989 -1.026301 -0.860367 -1.056222
## [2,] 5.914352 5.751937 6.820460 8.546896 12.976002 9.191269
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -14.440769 -11.313781 -6.076640 -10.085382 -17.62403 -18.982503
## [2,] 6.505587 6.845382 8.756755 5.848575 10.95303 -4.719675
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -29.615960 -8.073173 -15.901498 -3.475589 -3.254460 -8.472491
## [2,] 5.365779 12.834941 2.198229 3.307872 4.374686 4.206127
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -10.099970 -14.529715 -5.602584 -4.858521 -4.827092 -3.867389
## [2,] 2.716144 1.560417 8.004843 8.668497 2.590241 2.839491
## [,49] [,50] [,51] [,52] [,53] [,54] [,55]
## [1,] -7.851527 -7.334819 -5.175691 -9.090292 -4.182545 -1.57718 -13.600915
## [2,] 1.627174 5.100406 5.787750 1.943603 6.945097 10.12754 4.827604
## [,56] [,57] [,58] [,59] [,60] [,61]
## [1,] -2.076981 -6.676995 -13.394789 -8.175421 -3.631619 -21.51993
## [2,] 4.027318 8.088512 4.177217 2.885664 5.072166 18.55564
## [,62] [,63] [,64] [,65] [,66] [,67]
## [1,] -13.833383 -5.727310 -9.015923 -2.231020 -5.699243 -12.718398
## [2,] 4.511814 8.612179 7.200475 4.560279 7.807811 3.445444
## [,68] [,69] [,70] [,71] [,72] [,73]
## [1,] -4.578800 -4.158743 -3.407187 -7.351018 -5.054694 -7.305569
## [2,] 1.249947 2.265572 2.660849 2.145917 10.626874 1.394731
## [,74] [,75] [,76] [,77] [,78] [,79]
## [1,] -10.978350 -18.739818 -6.6342676 -6.349682 -13.010837 -5.260016
## [2,] 3.736371 2.072171 0.5892376 2.923547 8.968251 1.502528
## [,80] [,81] [,82] [,83] [,84] [,85] [,86]
## [1,] -7.447769 -4.845082 -9.146855 -8.103456 -8.717728 -6.698387 -1.265041
## [2,] 2.471841 4.551691 3.463444 8.203293 11.888614 5.675906 5.029995
## [,87] [,88] [,89] [,90] [,91] [,92] [,93]
## [1,] -5.347550 -6.938996 -8.769179 -7.490157 -2.732291 -6.802155 -4.023406
## [2,] 4.021724 9.372739 5.129010 -1.817553 11.133407 8.052593 16.243039
## [,94] [,95] [,96] [,97] [,98] [,99]
## [1,] -18.200877 -2.248713 -6.204623 -9.6263109 -15.132888 -2.010821
## [2,] 5.861174 3.415828 7.534936 0.4697717 6.918025 2.786125
## [,100] [,101] [,102] [,103] [,104] [,105]
## [1,] -12.0933449 -9.925744 -8.9972301 -12.04209 -5.013543 -3.340489
## [2,] 0.8609097 4.414042 0.2600938 -12.04209 3.219550 6.371852
## [,106] [,107] [,108] [,109] [,110] [,111]
## [1,] -7.4210344 -5.1764365 -4.880395 -7.958850 -4.273571 -8.103193
## [2,] -0.6477112 -0.8445405 1.243645 3.565063 7.835451 7.097667
## [,112]
## [1,] -6.178479
## [2,] 4.195659
##
## $out
## [1] 66.45749 45.25463 -33.97804 29.67402 34.34046 28.12643 -83.18055
## [8] 48.13655 -70.12297 -45.74712 -39.86029 -39.92063 -56.68642 -52.55334
## [15] -48.39942 -42.83506 -43.89056 50.67965 -69.26237 -45.08315 -47.42149
## [22] -61.26173 -45.69937 -53.98596 -28.69960 50.92886 63.00515 -18.26956
## [29] 20.60986 61.21564 -41.25062 61.77705 41.00864 49.13273 -40.68703
## [36] -53.95369 47.04584 -38.74359 -44.56322 -39.31301 -37.43001 -36.69243
## [43] -36.95309 30.53774 -58.40759 57.03818 62.34650 -53.38479 -55.76200
## [50] 54.43367 -40.74256 43.93223 33.08066 33.05856 -42.73061 -63.67507
## [57] -41.62926 35.32057 -60.01881 -48.20781 52.59452 46.13695 30.83462
## [64] 33.42693 36.19384 38.14483 47.33098 -41.29510 40.99423 -64.60352
## [71] -62.82326 40.94397 42.17681 -40.99010 -40.55255 20.86698 23.91651
## [78] 36.86246 27.75825 56.85449 42.19867 -47.31178 39.54337 -45.64120
## [85] -48.96051 49.22054 -40.80325 36.20377 59.66807 37.96958 35.74191
## [92] -52.40316 59.26241 54.05499 56.20106 56.20106 68.10779
##
## $group
## [1] 1 3 3 5 5 8 9 13 13 13 13 13 14 14 14 14 14
## [18] 14 14 14 14 14 14 14 16 18 19 22 22 23 30 32 40 40
## [35] 40 41 43 47 47 48 48 56 56 57 58 58 65 65 65 68 68
## [52] 68 68 68 69 70 70 70 71 71 71 73 76 76 77 77 77 79
## [69] 79 83 86 87 87 87 87 90 90 90 90 91 95 95 95 95 95
## [86] 97 99 99 100 102 102 105 107 107 107 107 108
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -46.47264 -36.844330 -11.867113 -17.386901 -21.771452 -26.027156
## [2,] -14.76330 -12.043730 -6.077989 -9.798931 -12.100538 -15.936296
## [3,] -1.53332 -2.249466 1.414849 -4.268681 -3.866353 -3.912514
## [4,] 15.14061 11.243404 9.072168 10.373129 18.684095 13.870421
## [5,] 40.76913 40.039928 25.216768 32.468238 39.557056 45.059465
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -1.7564861 -30.613100 -35.762869 -38.9478975 -39.99718 -34.925117
## [2,] -1.7564861 -8.575534 -9.057046 -9.6255911 -17.37752 -11.677575
## [3,] -0.8341226 -7.670252 1.353660 -0.7546702 -3.39217 1.809253
## [4,] 8.3615377 31.605456 12.694594 13.8195661 14.00471 13.685756
## [5,] 10.4974539 39.587771 39.200910 30.6991146 23.86637 43.209694
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -42.490228 -41.249948 -31.454886 -22.270292 -40.203833 -21.890880
## [2,] -10.487644 -8.853899 -12.129919 -9.029003 -13.635110 -10.518309
## [3,] 1.391905 2.632226 4.536747 3.761760 -4.181101 -3.233861
## [4,] 11.568399 13.573558 15.139005 8.916544 4.857642 9.684975
## [5,] 43.660767 39.463613 31.026920 23.264364 28.102789 27.341298
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -17.671745 -25.756402 -22.594575 -8.253097 -45.401909 -34.916448
## [2,] -13.044398 -14.767749 -16.887103 -5.301694 -14.726876 -11.611450
## [3,] -8.699766 -6.996353 -11.140790 -1.482713 -2.454899 3.138557
## [4,] -3.630179 7.105198 8.433446 2.613901 15.449618 12.175982
## [5,] 4.939261 34.877428 20.464167 14.338416 60.245360 47.814628
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -26.3967903 -36.574346 -42.152031 -26.798747 -17.765579 -29.80694206
## [2,] -15.6965747 -15.297055 -15.783290 -8.979425 -4.946256 -13.52248582
## [3,] -0.8891244 -1.449711 2.154279 2.900124 3.864700 0.05278131
## [4,] 23.1711014 8.123272 16.188927 11.711080 10.744248 8.47436161
## [5,] 39.1161052 32.639907 45.048213 37.988371 21.902094 33.51006902
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -52.504310 -25.980759 -37.807398 -31.342595 -26.599353 -11.642049
## [2,] -19.773234 -15.300002 -9.453733 -15.454680 -24.881158 -11.642049
## [3,] -1.975783 -3.188002 1.449654 -3.575131 -2.823011 -9.899615
## [4,] 9.023939 12.301118 12.000052 14.863682 15.686166 -8.157181
## [5,] 50.672179 38.233448 43.277343 45.147578 21.306494 -8.157181
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -24.106889 -30.962892 -18.977523 -30.6569122 -39.031665 -19.007975
## [2,] -24.106889 -6.985926 -10.857072 -10.3995713 -13.210944 -13.826517
## [3,] -14.034074 6.349277 -3.764641 0.7604848 1.008162 -3.676785
## [4,] -3.961259 14.283227 10.689789 9.8518812 12.994462 3.964201
## [5,] -3.961259 29.252593 31.811182 37.6342052 45.047221 27.009026
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -26.124906 -37.581386 -50.149333 -29.360324 -33.2711339 -31.40888
## [2,] -11.221415 -12.469732 -15.242439 -11.115238 -10.0544970 -10.06838
## [3,] -1.025969 -6.228829 -1.580003 1.672121 -0.6381386 -2.94015
## [4,] 6.378111 4.799193 12.256502 8.033235 8.0446109 7.67457
## [5,] 30.982448 21.398510 36.273378 22.944988 31.4195814 31.36907
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -42.059988 -38.67250 -37.6472655 -31.876537 -35.7258688 -29.361067
## [2,] -12.218680 -11.15430 -9.0426874 -10.343965 -7.7945303 -11.524499
## [3,] -0.335693 -0.21453 0.2304202 -5.769729 -0.9609287 2.671133
## [4,] 11.692882 12.35552 11.7386198 14.796141 14.6353246 11.110917
## [5,] 25.957069 33.03056 31.0819475 40.766777 31.8294726 33.905441
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -22.481917 -22.812294 -6.1855134 -57.747801 -33.124014 -31.75862866
## [2,] -10.176605 -3.679712 -0.5414741 -17.072767 -12.272487 -15.68923557
## [3,] -1.275363 2.025521 6.4573553 -2.887907 -1.203288 -0.09196199
## [4,] 9.658064 11.051789 17.9520324 15.658308 9.835318 11.45333778
## [5,] 26.490061 20.997500 37.9432654 55.658308 35.422201 33.93945205
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -21.5021142 -27.15949524 -19.703171 -40.117636 -40.0254915 -41.769076
## [2,] -11.4374058 -9.79627244 -12.434247 -15.922573 -12.2272669 -10.311365
## [3,] -1.3726973 -0.05499052 1.714226 -5.795758 0.6323538 5.023588
## [4,] 0.7665791 11.37945067 11.016383 13.977317 12.9376659 16.935948
## [5,] 2.9058555 30.81044626 32.176377 46.448331 46.3202272 31.521894
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -39.7362182 -27.0330341 -32.133545 -32.1731863 -21.000809 -28.212072
## [2,] -14.1935484 -8.8973922 -10.718673 -9.7904803 -7.953836 -12.973999
## [3,] -0.6717389 0.5003502 -1.536944 0.2095197 -2.201753 4.419560
## [4,] 14.2902806 8.6208017 9.707090 8.3299712 5.888742 8.552845
## [5,] 36.5522432 29.2230593 27.563038 31.5981989 20.128493 15.198311
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -23.766367 -31.943806 -34.104313 -36.539692 -32.154344 -38.243384
## [2,] -12.312582 -10.808279 -10.167716 -12.067813 -10.228457 -13.866969
## [3,] -3.038714 -3.290786 4.246338 -1.687675 -1.517177 -3.675647
## [4,] 5.382106 12.282472 9.173061 6.779531 6.658938 12.030045
## [5,] 28.113181 34.794862 15.700123 33.321563 29.870529 47.392150
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -25.395352 -40.86827 -34.8809976 -31.251888 -48.4307411 -33.8787328
## [2,] -9.206408 -11.88323 -9.4256735 -12.121069 -11.7146999 -13.9122218
## [3,] -1.722212 1.61585 -0.2703733 -2.972596 -0.8134479 0.6591157
## [4,] 10.461138 12.68480 12.8136903 11.565252 18.1679485 28.8295371
## [5,] 31.063396 29.61226 22.2114327 46.850910 48.4082919 37.1492884
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -45.34647 -52.129790 -46.434636 -37.361901 -37.164038 -17.677387
## [2,] -11.03894 -12.631304 -12.864718 -18.113128 -11.525392 -8.617162
## [3,] -1.27415 2.373997 1.724432 2.412592 2.410199 -6.223603
## [4,] 12.78608 14.710054 10.115122 12.359117 12.368887 3.049505
## [5,] 42.78608 39.632237 34.209277 48.901217 44.071657 15.832440
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -42.365698 -35.364666 -39.950207 -21.054781 -39.01049428 -27.419976
## [2,] -11.467848 -14.643884 -19.348785 -15.998545 -11.02689257 -10.140429
## [3,] 2.627278 -4.557137 6.057161 -5.845047 0.07079385 1.126239
## [4,] 13.487367 13.050804 15.100757 0.824767 8.59594662 9.167188
## [5,] 34.773055 51.597019 36.732194 15.576881 30.98950572 36.941379
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -34.367417 -31.580939 -35.547359 -29.717601 -43.7037574 -21.0904317
## [2,] -12.102201 -9.365094 -9.034297 -16.633537 -13.7020466 -12.1067528
## [3,] -2.062105 -2.908552 1.292195 -9.152111 -0.7995561 0.7891168
## [4,] 9.303433 8.856239 8.796488 11.417304 13.6610844 8.3073107
## [5,] 32.052022 19.415225 31.543342 51.310420 40.7715979 22.0136158
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -12.30868 -35.023129 -41.699999 -34.584552 -43.804302 -51.99996
## [2,] -12.30868 -11.741449 -10.987176 -13.533268 -13.946389 -15.63443
## [3,] -12.30868 -1.492179 1.319112 -4.038354 -2.651908 -2.01875
## [4,] -12.30868 10.740357 10.819596 11.680431 12.074160 17.67371
## [5,] -12.30868 35.350981 41.737262 37.371454 51.044171 65.58862
## [,109] [,110] [,111] [,112]
## [1,] -58.263242 -37.4306558 -29.882892 -46.693469
## [2,] -15.689666 -9.4866983 -13.676907 -17.586683
## [3,] -0.116984 -0.5874952 -1.136261 -1.347396
## [4,] 18.650586 11.7905926 9.502037 13.738940
## [5,] 51.942767 29.3087866 35.093135 56.372345
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -4.648773 -6.263984 -4.569463 -11.395444 -17.356584 -15.686167
## [2,] 1.582134 1.765053 7.399161 2.858082 9.623878 7.861139
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -5.267974 -36.06204 -1.461843 -5.941777 -15.788150 -3.050441
## [2,] 3.599729 20.72153 4.169163 4.432436 9.003809 6.668947
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -0.8077161 0.3820765 -3.463918 -1.330762 -9.515654 -9.749746
## [2,] 3.5915255 4.8823746 12.537412 8.854283 1.153452 3.282025
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -12.540337 -14.3644112 -26.261814 -4.711913 -10.754723 -2.527466
## [2,] -4.859195 0.3717052 3.980233 1.746488 5.844925 8.804580
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -10.851292 -9.339016 -5.735011 -2.028230 -1.30458 -5.739722
## [2,] 9.073044 6.439593 10.043569 7.828477 9.03398 5.845284
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -10.147740 -11.580706 -4.739060 -11.450338 -22.14879 -13.79301
## [2,] 6.196175 5.204702 7.638367 4.300075 16.50277 -6.00622
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -36.541351 -0.5103686 -11.193660 -2.650438 -2.740429 -10.125508
## [2,] 8.473203 13.2089221 3.664377 4.171408 4.756753 2.771939
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -6.102855 -10.978520 -9.260654 -4.636396 -4.603772 -6.055024
## [2,] 4.050918 -1.479137 6.100649 7.980639 3.327495 0.174724
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -6.309278 -6.584935 -5.027302 -12.2133855 -6.635738 -2.914259
## [2,] 5.637892 6.155875 5.488143 0.6739279 4.713880 8.256525
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -6.649919 -0.6269995 -4.586668 -13.230927 -6.353485 -6.281917
## [2,] 4.099193 4.6780409 17.501379 7.455113 3.946908 6.097993
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -12.505336 -9.713380 -7.019013 -14.019504 -2.624961 -2.586782
## [2,] 9.759941 9.603399 10.447465 2.427989 3.889669 12.633958
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -7.616076 -2.653936 -4.938786 -2.971626 -5.0986741 -2.672519
## [2,] 6.272599 3.654636 1.864898 3.390666 0.6951674 11.511638
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -7.206388 -9.951710 -3.165169 -6.031360 -6.027273 -12.604530
## [2,] 1.128960 3.370139 11.657846 2.656009 2.992918 5.253236
## [,79] [,80] [,81] [,82] [,83] [,84] [,85]
## [1,] -5.240732 -3.091464 -5.395806 -8.551495 -8.098816 -12.84728 -6.707524
## [2,] 1.796308 6.323163 4.855059 2.606302 6.471921 14.16551 4.159224
## [,86] [,87] [,88] [,89] [,90] [,91]
## [1,] -0.9392411 -3.571656 -5.199983 -3.635113 -9.339405 -3.768989
## [2,] 5.6872360 7.020519 10.025166 8.455511 -3.107801 9.023545
## [,92] [,93] [,94] [,95] [,96] [,97]
## [1,] -11.750843 -4.41795 -15.242791 -2.759479 -4.184180 -7.477783
## [2,] 2.636569 16.53227 3.552696 2.901067 6.436658 3.353574
## [,98] [,99] [,100] [,101] [,102] [,103]
## [1,] -11.219424 -1.248046 -15.686787 -8.442275 -4.513444 -12.30868
## [2,] 5.402321 3.832436 -2.617435 6.843163 6.091678 -12.30868
## [,104] [,105] [,106] [,107] [,108] [,109]
## [1,] -5.768436 -3.092361 -7.9077276 -4.9359338 -5.0321564 -5.266887
## [2,] 2.784077 5.730584 -0.1689797 -0.3678817 0.9946555 5.032919
## [,110] [,111] [,112]
## [1,] -6.11428 -8.944254 -6.110005
## [2,] 4.93929 6.671731 3.415213
##
## $out
## [1] 70.06659 68.24708 62.78004 40.68747 -41.69548 -50.83947 45.85723
## [8] -19.87694 31.81938 25.91364 -19.68336 -26.10679 -52.49867 -43.50605
## [15] -84.40891 -47.80639 46.39918 47.50753 -49.08684 -47.58007 -54.44491
## [22] 50.53344 -52.33638 -54.57456 -46.19141 -43.48248 -64.77680 -52.30574
## [29] -48.34055 -45.36203 -64.61575 -37.31261 37.59363 32.62987 42.34022
## [36] -44.19008 47.25173 64.03131 -30.70767 23.07027 31.74507 -19.77862
## [43] 55.91102 62.18123 -41.93420 45.90546 30.72262 44.32207 34.62270
## [50] 34.76091 47.03408 -48.49040 71.15990 47.22503 38.27683 37.40071
## [57] -54.34215 52.64151 -48.40211 45.03628 -33.56309 -41.40289 -36.35167
## [64] -48.00942 -35.89362 -49.36634 55.46396 -35.38864 -43.96157 -35.24504
## [71] -36.91333 -36.65985 38.14057 37.07003 -28.77040 27.00978 30.83768
## [78] 27.47677 62.21341 -43.05037 41.56207 35.19281 35.22411 -36.06819
## [85] 46.92716 -56.61916 40.46114 -52.86976 -43.10436 -47.85543 49.15622
## [92] -64.55688 35.79690 -39.45644 24.37865 37.96126 42.72280 39.96148
## [99] -41.98172 55.15747 47.79291 -41.79325 48.78942 60.28240 46.10525
## [106] -53.96752 58.74162 56.37903 56.37903 51.17877 54.90026
##
## $group
## [1] 1 1 1 3 3 4 4 7 7 7 7 7 9 9 9 9 9
## [18] 13 13 13 13 13 14 14 14 14 14 14 14 14 14 16 16 17
## [35] 17 17 17 19 19 19 22 22 31 32 40 40 42 43 44 44 44
## [52] 44 44 48 48 48 51 54 55 55 56 56 56 56 56 59 68 68
## [69] 68 68 68 68 70 71 71 71 71 71 73 76 76 76 77 77 77
## [86] 78 79 79 79 82 82 86 90 90 90 90 90 95 95 95 96 96
## [103] 97 100 105 105 107 107 107 107 107
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"
## $stats
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -51.1109594 -41.7460876 -35.485920 -25.045155 -11.423689 -21.169536
## [2,] -14.0104848 -14.4258355 -14.051713 -11.078409 -2.420533 -12.180313
## [3,] 0.2988843 0.7993225 2.615615 -1.958957 4.168650 -3.506937
## [4,] 13.7517791 12.0957970 18.199002 9.005416 10.419639 14.157794
## [5,] 47.1565631 37.3328940 43.526758 33.242714 21.978982 41.067319
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -21.169516 -10.985766 -43.514533 -38.0776373 -37.551630 -35.204645
## [2,] -6.901423 -10.985766 -12.981610 -11.4783120 -20.861072 -11.732722
## [3,] 1.149138 -6.037687 1.820361 -0.2532469 -7.124223 3.963988
## [4,] 15.547656 -1.202044 12.787964 13.1687839 16.528777 15.322189
## [5,] 22.115238 -1.202044 46.271358 30.9149980 35.813147 33.410792
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] -36.139041 -39.890566 -38.609470 -23.937358 -36.104189 -49.371233
## [2,] -8.745702 -8.625719 -11.076781 -8.027722 -19.976701 -13.110501
## [3,] 2.492255 2.818516 5.257605 2.064746 -7.422838 5.481303
## [4,] 10.473134 12.558499 16.425850 7.230643 19.680893 13.224143
## [5,] 37.466765 39.743432 31.752870 29.378813 43.626387 30.228093
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -20.165830 -28.537036 -21.650905 -8.711320 -46.512451 -53.531308
## [2,] -13.112214 -11.625165 -17.401760 -3.113350 -16.351570 -11.719282
## [3,] -6.697388 -3.126405 -10.150379 1.265725 -1.014029 3.584278
## [4,] -3.403863 11.792522 4.065151 4.150363 15.955640 16.585330
## [5,] 8.523758 38.812869 19.517340 11.506418 57.314044 52.083752
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -40.404078 -35.831268 -51.560627 -40.231252 -16.315489 -26.5490424
## [2,] -8.368218 -8.958679 -18.271787 -8.634871 -6.149349 -7.4755635
## [3,] 1.783716 -1.168810 6.412849 1.868099 3.271497 0.5077485
## [4,] 13.284452 9.334873 16.740058 12.985025 10.935300 9.2389840
## [5,] 36.797923 30.571327 46.315198 43.994304 17.189245 33.0633598
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -38.01346 -40.18988 -34.252673 -30.976423 -43.838597 -12.280469
## [2,] -15.22773 -9.69626 -16.921444 -16.082585 -14.897036 -12.280469
## [3,] -7.72452 -6.19738 1.835131 -2.084689 6.534165 -10.327194
## [4,] 10.27841 17.71125 16.411889 14.753379 12.633519 -8.373919
## [5,] 44.56425 57.21897 43.078556 46.918467 30.422910 -8.373919
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -28.632610 -24.604942 -24.336052 -39.4160854 -41.0907786 -16.7072250
## [2,] -28.632610 -4.921412 -11.080110 -9.6679266 -13.2688343 -9.7421298
## [3,] -15.495050 -1.188940 -4.035525 -0.1663484 -0.7918471 -0.8513953
## [4,] -2.357491 11.247755 8.486445 10.3320734 13.5692335 3.5550683
## [5,] -2.357491 30.995174 36.135876 34.5818104 43.8257507 11.0938338
## [,43] [,44] [,45] [,46] [,47] [,48]
## [1,] -38.0759437 -48.11625 -62.261756 -29.730710 -25.694215 -38.612622
## [2,] -12.5516703 -14.34154 -17.407614 -11.649218 -8.403614 -10.671831
## [3,] -0.9616218 -2.51515 1.277244 2.102098 -1.355366 -1.890415
## [4,] 7.7715775 10.05130 15.526981 8.688324 6.501143 8.109585
## [5,] 20.2531327 34.18075 47.505741 22.434379 20.542220 35.944497
## [,49] [,50] [,51] [,52] [,53] [,54]
## [1,] -27.879911 -39.082833 -30.8822768 -24.424464 -37.083494 -29.380356
## [2,] -11.711667 -11.751604 -9.9862972 -9.258324 -8.127000 -11.722796
## [3,] -1.127544 1.115341 -0.2177143 -3.973447 1.323783 2.877668
## [4,] 9.895668 12.085411 11.2023717 9.241150 13.665552 15.081685
## [5,] 31.562467 42.459185 34.0799313 29.573431 37.485335 38.446791
## [,55] [,56] [,57] [,58] [,59] [,60]
## [1,] -41.20270 -22.8254041 -6.876031 -59.686451 -31.661198 -29.654053
## [2,] -13.18202 -4.8185541 -2.651281 -15.023992 -12.101433 -11.436161
## [3,] -1.26351 -0.8206583 1.723106 -2.194341 -2.577601 2.861277
## [4,] 12.99149 10.5084666 9.020887 20.142148 8.510203 12.071405
## [5,] 41.98412 29.1411967 20.229044 52.971799 36.838276 33.738072
## [,61] [,62] [,63] [,64] [,65] [,66]
## [1,] -18.679898 -14.1027107 -19.395613 -28.357644 -45.20554 -28.371272
## [2,] -11.040002 -4.5637828 -11.892982 -16.890575 -10.67321 -6.929831
## [3,] -3.400107 0.2676552 -2.215937 -6.020576 1.42856 2.715308
## [4,] 19.261907 7.7246144 8.107018 11.971914 13.65696 11.590379
## [5,] 41.923920 13.7606535 32.437195 46.856129 37.47897 31.072146
## [,67] [,68] [,69] [,70] [,71] [,72]
## [1,] -28.971579 -26.459681 -28.577006 -24.5202040 -31.475069 -20.368895
## [2,] -13.348738 -9.618794 -9.952611 -10.3130569 -8.269206 -11.853507
## [3,] -3.812465 -1.955284 -1.238378 -0.8843668 -2.070444 -1.204858
## [4,] 15.780074 5.718747 8.194059 7.6713522 8.499856 8.886103
## [5,] 31.771657 28.630799 34.854598 29.9064457 29.924534 21.914819
## [,73] [,74] [,75] [,76] [,77] [,78]
## [1,] -22.573850 -36.826560 -24.582064 -24.216515 -27.2249231 -32.885979
## [2,] -10.610206 -11.149956 -14.224484 -9.717193 -10.5667831 -14.009381
## [3,] -2.775294 -3.148016 -3.352877 -3.320873 -0.5419137 -4.429504
## [4,] 5.207642 9.274960 5.496611 5.721157 6.4379653 8.562864
## [5,] 25.038271 26.915855 26.160057 24.181758 30.6767570 37.823427
## [,79] [,80] [,81] [,82] [,83] [,84]
## [1,] -45.020743 -40.650554 -33.6976779 -46.447766 -53.4704488 -31.069163
## [2,] -12.163409 -10.736255 -8.8537080 -13.260346 -13.0298657 -13.303233
## [3,] -1.241155 -1.593312 0.3002179 -3.924908 -0.7239007 -2.970951
## [4,] 14.342968 13.765323 12.2991658 10.270208 17.1415355 23.740805
## [5,] 43.655395 39.668678 23.3012700 29.740706 46.1341708 43.363434
## [,85] [,86] [,87] [,88] [,89] [,90]
## [1,] -36.8374855 -43.011652 -33.7194440 -45.1963072 -35.88561 -19.470095
## [2,] -12.7846081 -12.521993 -9.3325477 -17.9204921 -10.45592 -8.157958
## [3,] -0.9386215 2.472947 -0.2064572 0.5789818 2.29646 -5.335089
## [4,] 14.1470790 13.374684 8.9261244 14.5016981 12.61386 3.164385
## [5,] 41.9767300 43.057786 32.3907979 45.3324012 35.94720 17.001401
## [,91] [,92] [,93] [,94] [,95] [,96]
## [1,] -28.274730 -28.634126 -40.451981 -20.155554 -36.867713 -31.14099400
## [2,] -13.108589 -14.351640 -18.665444 -18.801668 -10.120606 -10.35022865
## [3,] 1.377274 -3.183396 5.841394 -2.508664 1.219040 0.07709967
## [4,] 12.893515 12.818709 14.725275 4.674236 9.220092 8.09588979
## [5,] 34.726322 51.982745 36.002274 8.790275 33.132287 29.24113608
## [,97] [,98] [,99] [,100] [,101] [,102]
## [1,] -34.532618 -22.1983636 -39.0146482 -29.836830 -21.2317547 -22.801378
## [2,] -12.123765 -11.5312797 -9.7030472 -16.050837 -10.1506558 -12.125875
## [3,] -5.861743 -3.4976762 0.3826534 -5.860196 0.4762775 -1.129031
## [4,] 7.163387 0.4992378 9.8634537 8.557305 9.8248027 6.980680
## [5,] 31.921041 16.9997639 37.9552854 44.332467 36.5101190 29.798984
## [,103] [,104] [,105] [,106] [,107] [,108]
## [1,] -11.17206 -43.79119 -46.687512 -33.347703 -48.875712 -56.72168
## [2,] -11.17206 -11.75158 -12.247769 -12.816795 -13.186246 -16.69629
## [3,] -11.17206 -3.58439 2.918372 -3.721218 -3.079567 -2.13734
## [4,] -11.17206 11.08859 12.415835 9.308178 12.993771 17.46239
## [5,] -11.17206 35.41877 44.751179 38.459129 47.342913 60.50333
## [,109] [,110] [,111] [,112]
## [1,] -56.6208218 -34.162349 -28.49722 -54.211647
## [2,] -14.7629537 -7.750430 -12.11223 -16.880332
## [3,] 0.5467251 0.167828 -1.50712 -1.123373
## [4,] 16.1893881 14.498005 10.64903 16.005399
## [5,] 51.6105549 31.829234 33.41700 55.742142
##
## $n
## [1] 230 84 16 20 13 16 13 5 149 51 16 68 251 248 29 31 30
## [18] 24 15 22 7 15 33 44 38 22 41 44 23 36 31 27 30 37
## [35] 11 2 2 24 21 88 122 19 30 33 32 23 52 81 40 34 39
## [52] 38 39 41 34 77 7 25 46 48 3 12 18 33 149 32 42 77
## [69] 90 81 57 23 45 30 17 47 35 21 78 68 47 45 42 25 48
## [86] 170 47 40 39 35 38 37 27 8 120 33 39 12 123 46 32 37
## [103] 1 69 61 106 324 305 111 37 22 108
##
## $conf
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] -2.593447 -3.772798 -10.12342 -9.054547 -1.458082 -13.910490
## [2,] 3.191216 5.371443 15.35465 5.136633 9.795383 6.896615
## [,7] [,8] [,9] [,10] [,11] [,12]
## [1,] -8.688344 -12.9508400 -1.515218 -5.706275 -21.893213 -1.219818
## [2,] 10.986620 0.8754665 5.155940 5.199781 7.644767 9.147794
## [,13] [,14] [,15] [,16] [,17] [,18]
## [1,] 0.5755856 0.6931017 -2.811629 -2.265218 -18.862754 -3.012045
## [2,] 4.4089251 4.9439310 13.326839 6.394709 4.017078 13.974651
## [,19] [,20] [,21] [,22] [,23] [,24]
## [1,] -10.657951 -11.01482 -22.970071 -1.697537 -9.899891 -3.15771
## [2,] -2.736825 4.76201 2.669313 4.228988 7.871834 10.32627
## [,25] [,26] [,27] [,28] [,29] [,30]
## [1,] -3.766076 -7.331123 -2.226483 -3.281630 -2.357088 -3.893749
## [2,] 7.333509 4.993503 15.052181 7.017828 8.900082 4.909246
## [,31] [,32] [,33] [,34] [,35] [,36]
## [1,] -14.9625598 -14.531211 -7.780442 -10.094343 -6.581058 -14.691704
## [2,] -0.4864795 2.136452 11.450705 5.924965 19.649389 -5.962685
## [,37] [,38] [,39] [,40] [,41] [,42]
## [1,] -44.85037 -6.403757 -10.781765 -3.534920 -4.630938 -5.671322
## [2,] 13.86027 4.025878 2.710716 3.202223 3.047244 3.968531
## [,43] [,44] [,45] [,46] [,47] [,48] [,49]
## [1,] -6.824212 -9.224223 -7.921625 -4.598162 -4.621096 -5.187597 -6.525487
## [2,] 4.900969 4.193923 10.476113 8.802357 1.910365 1.406767 4.270399
## [,50] [,51] [,52] [,53] [,54] [,55]
## [1,] -5.343722 -5.578500 -8.7150444 -4.189786 -3.736459 -8.355687
## [2,] 7.574404 5.143072 0.7681502 6.837353 9.491796 5.828666
## [,56] [,57] [,58] [,59] [,60] [,61]
## [1,] -3.580407 -5.247324 -13.306842 -7.379253 -2.499703 -31.04192
## [2,] 1.939090 8.693537 8.918159 2.224050 8.222256 24.24170
## [,62] [,63] [,64] [,65] [,66] [,67]
## [1,] -5.337165 -9.664128 -13.958993 -1.720705 -2.457520 -10.914049
## [2,] 5.872476 5.232254 1.917841 4.577825 7.888135 3.289119
## [,68] [,69] [,70] [,71] [,72] [,73]
## [1,] -4.7169267 -4.260645 -4.041630 -5.579808 -8.037580 -6.5009115
## [2,] 0.8063587 1.783888 2.272896 1.438920 5.627864 0.9503227
## [,74] [,75] [,76] [,77] [,78] [,79]
## [1,] -9.039935 -10.91012 -6.8788981 -5.083351 -12.212059 -5.983139
## [2,] 2.743902 4.20437 0.2371526 3.999523 3.353051 3.500830
## [,80] [,81] [,82] [,83] [,84] [,85]
## [1,] -6.287891 -4.574815 -9.467118 -8.079667 -14.676867 -7.080483
## [2,] 3.101268 5.175251 1.617302 6.631866 8.734964 5.203240
## [,86] [,87] [,88] [,89] [,90] [,91]
## [1,] -0.6652241 -4.414473 -7.520728 -3.540252 -8.358933 -5.287321
## [2,] 5.6111189 4.001558 8.678691 8.133173 -2.311245 8.041869
## [,92] [,93] [,94] [,95] [,96] [,97]
## [1,] -10.240905 -4.31176 -15.62264 -1.570539 -4.99637 -10.7414404
## [2,] 3.874113 15.99455 10.60531 4.008619 5.15057 -0.9820457
## [,98] [,99] [,100] [,101] [,102] [,103]
## [1,] -8.984876 -2.404865 -11.5928670 -5.103011 -6.091966 -11.17206
## [2,] 1.989524 3.170171 -0.1275255 6.055566 3.833904 -11.17206
## [,104] [,105] [,106] [,107] [,108] [,109]
## [1,] -7.9288110 -2.071033 -7.1165868 -5.3775906 -5.2276936 -4.095104
## [2,] 0.7600312 7.907776 -0.3258499 -0.7815431 0.9530135 5.188554
## [,110] [,111] [,112]
## [1,] -5.611212 -9.174412 -6.123174
## [2,] 5.946868 6.160172 3.876428
##
## $out
## [1] 80.65101 -26.45781 53.41210 -22.72859 -32.28878 31.26456 -83.61185
## [8] -43.09646 -38.94845 40.61370 43.70175 -37.60026 -39.35926 -40.46378
## [15] -50.12358 -53.22215 -46.51090 -49.93636 -47.65463 -59.09113 -47.95714
## [22] -52.77754 -51.26268 -42.90659 -41.85807 -48.18416 -49.65215 -45.70300
## [29] -54.36161 -43.69088 -56.56224 32.47163 34.22983 -32.38101 -54.57167
## [36] -38.72030 66.63594 -55.21491 -26.10492 51.15932 48.60748 51.24253
## [43] -56.32018 -36.25483 44.53680 49.59187 34.79066 -39.48201 47.51555
## [50] -30.15850 -40.98358 -43.07971 -26.31376 -58.36025 -58.53305 49.71664
## [57] 43.94459 40.93448 29.72208 53.55505 50.64174 32.01667 36.22828
## [64] 32.08279 42.00588 47.75793 47.73650 45.57141 -52.33216 -67.15458
## [71] 52.62142 -55.27087 61.52515 -65.77291 54.78151 -58.91474 -38.04137
## [78] -25.79033 25.50087 38.66281 26.07782 41.96404 -60.87585 39.24114
## [85] 49.90570 -44.85011 48.29703 22.65027 44.29096 51.33141 49.16633
## [92] 60.16317 -55.23303 -52.18851 43.64064 -52.92071 50.05297 -54.57374
## [99] 59.66996 59.20040 55.96605 55.96605
##
## $group
## [1] 1 5 5 5 8 8 9 13 13 13 13 13 13 13 13 13 13
## [18] 13 13 14 14 14 14 14 14 14 14 14 14 14 14 16 16 16
## [35] 18 19 19 20 22 31 31 31 41 42 43 44 47 48 48 56 56
## [52] 56 57 60 60 68 68 68 73 74 76 76 77 77 77 78 82 82
## [69] 86 86 86 86 86 86 86 86 87 90 90 90 90 95 95 96 96
## [86] 96 97 98 99 100 100 100 101 101 101 101 101 105 107 107 107 107
##
## $names
## [1] "17" "18" "57" "58" "59" "60" "61" "70" "77" "129" "130"
## [12] "132" "133" "135" "136" "138" "139" "141" "143" "145" "147" "150"
## [23] "152" "153" "154" "155" "157" "159" "161" "162" "163" "164" "190"
## [34] "191" "192" "197" "198" "202" "203" "233" "240" "244" "245" "246"
## [45] "248" "251" "257" "260" "265" "266" "267" "268" "277" "278" "282"
## [56] "305" "312" "313" "316" "333" "362" "363" "366" "375" "388" "389"
## [67] "402" "406" "407" "408" "409" "414" "415" "419" "420" "424" "429"
## [78] "430" "431" "432" "433" "434" "435" "436" "442" "445" "457" "458"
## [89] "463" "467" "471" "476" "477" "505" "510" "511" "519" "527" "528"
## [100] "532" "536" "537" "546" "554" "573" "576" "603" "604" "605" "631"
## [111] "635" "693"for (i in 1:10) {
D1 <- lmer(mod3,data=MIdata[[i]])
#Assumption of Normality or residuals: want points to be near the line
print(qqmath(D1))
}
This produces a table of the pvalues for the correlations between the student level variables for pretest and the residuals.
res_corr <- data_frame(it =NA,
with_pre_score = NA,
with_cent_pre = NA)
for (i in 1:10) {
res_corr[i,1] <- i
D1 <- lmer(mod3,data=MIdata[[i]])
temp <- cor.test(resid(D1), MIdata[[i]]$pre_scor)
res_corr[i,2] <- temp$p.value
temp <- cor.test(resid(D1), MIdata[[i]]$stud_pre_cent)
res_corr[i,3] <- temp$p.value
}lev_p <- data_frame(it =NA,
p_values = NA)
for (i in 1:10) {
lev_p[i,1] <-i
D1 <- lmer(mod3,data=MIdata[[i]])
MIdata[[i]]$Model.F.Res<- residuals(D1) #extracts the residuals and places them in a new column in our original data table
MIdata[[i]]$Abs.Model.F.Res <-abs(MIdata[[i]]$Model.F.Res) #creates a new column with the absolute value of the residuals
Levene.Model.F <- lm(Model.F.Res ~ crse_id, data=MIdata[[i]]) #ANOVA of the residuals
temp <-anova(Levene.Model.F) #displays the results: want a p>0.05
lev_p[i,2] <- temp$`Pr(>F)`[[1]]
}Making the figures
#linearity: Shouldn't see a pattern
D1 <- lmer(mod3,data=MIdata[[1]])
plot(D1, xlab="Fitted Value", ylab="Residual Variance")
#variables are not correlated to the residuals: want a p-value>0.05
cor.test(resid(D1), MIdata[[1]]$pre_scor) ##
## Pearson's product-moment correlation
##
## data: resid(D1) and MIdata[[1]]$pre_scor
## t = 0.036379, df = 5957, p-value = 0.971
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02491982 0.02586189
## sample estimates:
## cor
## 0.0004713377cor.test(resid(D1), MIdata[[1]]$stud_pre_cent)##
## Pearson's product-moment correlation
##
## data: resid(D1) and MIdata[[1]]$stud_pre_cent
## t = 3.7072e-14, df = 5957, p-value = 1
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02539086 0.02539086
## sample estimates:
## cor
## 4.803239e-16#quantitative homogeneity of variance
MIdata[[1]]$Model.F.Res <- residuals(D1) #extracts the residuals and places them in a new column in our original data table
MIdata[[1]]$Abs.Model.F.Res <-abs(MIdata[[1]]$Model.F.Res) #creates a new column with the absolute value of the residuals
#MIdata[[1]]$Model.F.Res2 <- MIdata[[1]]$Abs.Model.F.Res^2 #squares the absolute values of the residuals to provide the more robust estimate
Levene.Model.F <- lm(Model.F.Res ~ crse_id, data=MIdata[[1]]) #ANOVA of the residuals
anova(Levene.Model.F) #displays the results: want a p>0.05## Analysis of Variance Table
##
## Response: Model.F.Res
## Df Sum Sq Mean Sq F value Pr(>F)
## crse_id 1 47 46.98 0.1397 0.7085
## Residuals 5957 2002574 336.17#Levene.Model.F2 <- lm(Model.F.Res2 ~ crse_id, data=MIdata[[1]]) #ANOVA of the squared residuals
#anova(Levene.Model.F2) #displays the results
#visual homogeneity of variance
boxplot(MIdata[[1]]$Model.F.Res ~ MIdata[[1]]$crse_id, xlab = "Course", ylab = "Residuals" )
#boxplot(MIdata[[1]]$Model.F.Res2 ~ MIdata[[1]]$crse_id)
#Assumption of Normality or residuals: want points to be near the line
qqmath(D1)
Linearity… check residuals following this guys solution? https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=4284&context=etd https://stackoverflow.com/questions/33859440/residual-plots-for-multiple-imputation-using-mice-package-in-r https://biologyforfun.wordpress.com/2014/04/16/checking-glm-model-assumptions-in-r/
Linearity (we pass)
plot(D1)
X variables are not correlated to the residuals (we pass)
cor.test(resid(D1), MIdata[[1]]$pre_scor) ##
## Pearson's product-moment correlation
##
## data: resid(D1) and MIdata[[1]]$pre_scor
## t = 0.036379, df = 5957, p-value = 0.971
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02491982 0.02586189
## sample estimates:
## cor
## 0.0004713377cor.test(resid(D1), MIdata[[1]]$stud_pre_cent)##
## Pearson's product-moment correlation
##
## data: resid(D1) and MIdata[[1]]$stud_pre_cent
## t = 3.7072e-14, df = 5957, p-value = 1
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02539086 0.02539086
## sample estimates:
## cor
## 4.803239e-16cor.test(resid(D1), MIdata[[1]]$used_las) ##
## Pearson's product-moment correlation
##
## data: resid(D1) and MIdata[[1]]$used_las
## t = 4.5456e-13, df = 5957, p-value = 1
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02539086 0.02539086
## sample estimates:
## cor
## 5.88948e-15cor.test(resid(D1), MIdata[[1]]$collabnla) ##
## Pearson's product-moment correlation
##
## data: resid(D1) and MIdata[[1]]$collabnla
## t = 1.8433e-14, df = 5957, p-value = 1
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.02539086 0.02539086
## sample estimates:
## cor
## 2.388256e-16https://ademos.people.uic.edu/Chapter18.html homogenety of variance we pass with variance, but not variance^2 (don’t pass?) Maybe not required for HLM: https://stats.stackexchange.com/questions/77891/checking-assumptions-lmer-lme-mixed-models-in-r https://stats.stackexchange.com/questions/255546/test-homogeneity-in-lmer-models
MIdata[[1]]$Model.F.Res<- residuals(D1) #extracts the residuals and places them in a new column in our original data table
MIdata[[1]]$Abs.Model.F.Res <-abs(MIdata[[1]]$Model.F.Res) #creates a new column with the absolute value of the residuals
MIdata[[1]]$Model.F.Res2 <- MIdata[[1]]$Abs.Model.F.Res^2 #squares the absolute values of the residuals to provide the more robust estimate
Levene.Model.F <- lm(Model.F.Res ~ crse_id, data=MIdata[[1]]) #ANOVA of the residuals
anova(Levene.Model.F) #displays the results## Analysis of Variance Table
##
## Response: Model.F.Res
## Df Sum Sq Mean Sq F value Pr(>F)
## crse_id 1 47 46.98 0.1397 0.7085
## Residuals 5957 2002574 336.17Levene.Model.F2 <- lm(Model.F.Res2 ~ crse_id, data=MIdata[[1]]) #ANOVA of the squared residuals
anova(Levene.Model.F2) #displays the results## Analysis of Variance Table
##
## Response: Model.F.Res2
## Df Sum Sq Mean Sq F value Pr(>F)
## crse_id 1 2682790 2682790 10.834 0.001003 **
## Residuals 5957 1475167082 247636
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1boxplot(MIdata[[1]]$Model.F.Res ~ MIdata[[1]]$crse_id)
boxplot(MIdata[[1]]$Model.F.Res2 ~ MIdata[[1]]$crse_id)
Assumption of Normality or residuals (we pass)
qqmath(D1) #id: identifies values that may be exerting undue influence on the model (i.e. outliers)
Try using Dharma: https://cran.r-project.org/web/packages/DHARMa/vignettes/DHARMa.html
simulationOutput <- with(MIdata[[1]],{simulateResiduals(fittedModel = D1, n = 250)})## Model family was recoginzed or set as continous, but duplicate values were detected in the simulation - changing to integer residuals (see help for details)plot(simulationOutput)
testUniformity(simulationOutput = simulationOutput)
##
## One-sample Kolmogorov-Smirnov test
##
## data: simulationOutput$scaledResiduals
## D = 0.027775, p-value = 0.0002032
## alternative hypothesis: two-sidedHLMdiag version of diagnostics
http://r-statistics.co/Assumptions-of-Linear-Regression.html
Creating groups for final model
WM=c(1,0,0,0,0,0,0,0,0,0,0,0,0)
WMC=c(1,0,1,0,0,0,0,0,0,0,0,0,0)
WMLA=c(1,0,0,1,0,0,0,0,0,0,0,0,0)
BM=c(1,0,0,0,0,1,0,0,0,0,0,0,0)
BMC=c(1,0,1,0,0,1,0,0,0,0,1,0,0)
BMLA=c(1,0,0,1,0,1,0,0,0,1,0,0,0)
WF=c(1,0,0,0,0,0,1,0,0,0,0,0,0)
WFC=c(1,0,1,0,0,0,1,0,0,0,0,0,1)
WFLA=c(1,0,0,1,0,0,1,0,0,0,0,1,0)
BF=c(1,0,0,0,0,1,1,0,0,0,0,0,0)
BFC=c(1,0,1,0,0,1,1,0,0,0,1,0,1)
BFLA=c(1,0,0,1,0,1,1,0,0,1,0,1,0)
contrast.formulas <-rbind('White Male'=WM, 'White Male Collab'=WMC, 'White Male LA'=WMLA,
'Black Male'=BM, 'Black Male Collab'=BMC, 'Black Male LA'=BMLA,
'White Female'=WF,'White Female Collab'=WFC, 'White Female LA'=WFLA,
'Black Female'=BF,'Black Female Collab'=BFC, 'Black Female LA'=BFLA)Centering analysis
The code below generates models to compare the three different methods for centering the prescores.
HLM1.1.1<-with(MIdata,{lmer(gain~1 + stud_pre_grand + (1|crse_id))})
HLM1.2.1<-with(MIdata,{lmer(gain~1 + stud_pre_grand + class_pre_cent + (1|crse_id))})
HLM3.1<-with(MIdata,{lmer(gain~1 + stud_pre_grand+ used_las + collabnla + (1|crse_id))})
HLM4.1<-with(MIdata,{lmer(gain~1 + stud_pre_grand+ used_las + collabnla + (1+ stud_pre_grand|crse_id))})
HLM5.1<-with(MIdata,{lmer(gain~1 + stud_pre_grand+ used_las + collabnla + class_pre_cent + (1|crse_id))})
HLM6.1<-with(MIdata,{lmer(gain~1 + stud_pre_grand+ used_las + collabnla + class_pre_cent + (1+ stud_pre_cent|crse_id))})HLM1.1.2<-with(MIdata,{lmer(gain~1 + pre_scor + (1|crse_id))})
HLM1.2.2<-with(MIdata,{lmer(gain~1 + pre_scor + class_pre_cent + (1|crse_id))})
HLM3.2<-with(MIdata,{lmer(gain~1 + pre_scor+ used_las + collabnla + (1|crse_id))})
HLM4.2<-with(MIdata,{lmer(gain~1 + pre_scor+ used_las + collabnla + (1+ stud_pre_grand|crse_id))})
HLM5.2<-with(MIdata,{lmer(gain~1 + pre_scor+ used_las + collabnla + class_pre_cent + (1|crse_id))})
HLM6.2<-with(MIdata,{lmer(gain~1 + pre_scor+ used_las + collabnla + class_pre_cent + (1+ stud_pre_cent|crse_id))})testEstimates(HLM1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 18.284 0.872 20.977 669.237 0.000 0.131 0.119
##
## Estimate
## Intercept~~Intercept|crse_id 60.620
## Residual~~Residual 409.799
## ICC|crse_id 0.129
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM1.1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM1.1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 18.246 0.874 20.871 634.548 0.000 0.135 0.122
## stud_pre_cent 0.440 0.023 18.844 19.164 0.000 2.178 0.714
##
## Estimate
## Intercept~~Intercept|crse_id 62.777
## Residual~~Residual 343.477
## ICC|crse_id 0.154
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM1.2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM1.2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 18.259 0.873 20.925 743.465 0.000 0.124 0.112
## stud_pre_cent 0.440 0.023 18.844 19.165 0.000 2.177 0.714
## class_pre_cent -0.030 0.096 -0.313 266.451 0.754 0.225 0.190
##
## Estimate
## Intercept~~Intercept|crse_id 63.060
## Residual~~Residual 343.494
## ICC|crse_id 0.155
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM1.1.1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM1.1.1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 18.363 0.971 18.919 1042.418 0.000 0.102 0.095
## stud_pre_grand -0.432 0.023 -18.598 19.053 0.000 2.198 0.716
##
## Estimate
## Intercept~~Intercept|crse_id 82.562
## Residual~~Residual 343.443
## ICC|crse_id 0.194
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM1.1.2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM1.1.2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 33.911 1.357 24.985 52.280 0.000 0.709 0.436
## pre_scor -0.432 0.023 -18.598 19.053 0.000 2.198 0.716
##
## Estimate
## Intercept~~Intercept|crse_id 82.562
## Residual~~Residual 343.443
## ICC|crse_id 0.194
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM1.2.1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM1.2.1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 18.620 0.869 21.423 851.208 0.000 0.115 0.105
## stud_pre_grand -0.440 0.023 -18.844 19.165 0.000 2.177 0.714
## class_pre_cent -0.470 0.098 -4.796 238.554 0.000 0.241 0.201
##
## Estimate
## Intercept~~Intercept|crse_id 63.060
## Residual~~Residual 343.494
## ICC|crse_id 0.155
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM1.2.2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM1.2.2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 34.468 1.286 26.799 44.526 0.000 0.817 0.473
## pre_scor -0.440 0.023 -18.844 19.165 0.000 2.177 0.714
## class_pre_cent -0.470 0.098 -4.796 238.554 0.000 0.241 0.201
##
## Estimate
## Intercept~~Intercept|crse_id 63.060
## Residual~~Residual 343.494
## ICC|crse_id 0.155
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.696 2.131 6.428 891.880 0.000 0.112 0.102
## used_las 6.014 2.352 2.557 1215.587 0.011 0.094 0.088
## collabnla 3.512 3.008 1.168 269.731 0.244 0.223 0.189
##
## Estimate
## Intercept~~Intercept|crse_id 56.570
## Residual~~Residual 409.830
## ICC|crse_id 0.121
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM3, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM3, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.760 2.144 6.419 812.980 0.000 0.118 0.107
## stud_pre_cent 0.440 0.023 18.844 19.165 0.000 2.177 0.714
## used_las 5.936 2.363 2.512 1160.173 0.012 0.097 0.090
## collabnla 3.256 3.023 1.077 247.880 0.283 0.235 0.197
##
## Estimate
## Intercept~~Intercept|crse_id 58.827
## Residual~~Residual 343.497
## ICC|crse_id 0.146
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM3.1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM3.1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 11.272 2.322 4.854 1624.496 0.000 0.080 0.076
## stud_pre_grand -0.432 0.023 -18.660 19.111 0.000 2.187 0.715
## used_las 8.805 2.573 3.422 2010.566 0.001 0.072 0.068
## collabnla 7.076 3.196 2.214 568.343 0.027 0.144 0.129
##
## Estimate
## Intercept~~Intercept|crse_id 73.324
## Residual~~Residual 343.509
## ICC|crse_id 0.176
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM3.2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM3.2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 26.846 2.461 10.911 393.338 0.000 0.178 0.156
## pre_scor -0.432 0.023 -18.660 19.111 0.000 2.187 0.715
## used_las 8.805 2.573 3.422 2010.566 0.001 0.072 0.068
## collabnla 7.076 3.196 2.214 568.343 0.027 0.144 0.129
##
## Estimate
## Intercept~~Intercept|crse_id 73.324
## Residual~~Residual 343.509
## ICC|crse_id 0.176
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM4, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM4, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.347 2.052 6.505 1402.786 0.000 0.087 0.081
## stud_pre_cent 0.426 0.025 16.833 33.212 0.000 1.086 0.547
## used_las 6.662 2.289 2.911 951.492 0.004 0.108 0.099
## collabnla 2.952 2.951 1.001 201.219 0.318 0.268 0.219
##
## Estimate
## Intercept~~Intercept|crse_id 58.825
## Intercept~~stud_pre_cent|crse_id 0.437
## stud_pre_cent~~stud_pre_cent|crse_id 0.009
## Residual~~Residual 340.331
## ICC|crse_id 0.147
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM4.1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM4.1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 11.298 2.276 4.963 2878.877 0.000 0.059 0.057
## stud_pre_grand -0.413 0.024 -17.007 32.604 0.000 1.107 0.552
## used_las 9.155 2.543 3.601 1232.006 0.000 0.093 0.087
## collabnla 6.780 3.104 2.184 442.351 0.029 0.166 0.146
##
## Estimate
## Intercept~~Intercept|crse_id 73.946
## Intercept~~stud_pre_grand|crse_id -0.584
## stud_pre_grand~~stud_pre_grand|crse_id 0.009
## Residual~~Residual 340.496
## ICC|crse_id 0.178
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM4.2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM4.2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 26.190 2.446 10.706 1066.612 0.000 0.101 0.094
## pre_scor -0.413 0.024 -17.007 32.604 0.000 1.107 0.552
## used_las 9.155 2.543 3.601 1232.042 0.000 0.093 0.087
## collabnla 6.780 3.104 2.184 442.355 0.029 0.166 0.146
##
## Estimate
## Intercept~~Intercept|crse_id 73.946
## Intercept~~stud_pre_grand|crse_id -0.584
## stud_pre_grand~~stud_pre_grand|crse_id 0.009
## Residual~~Residual 340.496
## ICC|crse_id 0.178
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM5, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM5, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.659 2.209 6.184 1545.906 0.000 0.083 0.077
## stud_pre_cent 0.440 0.023 18.844 19.165 0.000 2.177 0.714
## used_las 6.036 2.445 2.469 1426.050 0.014 0.086 0.081
## collabnla 3.388 3.135 1.081 306.195 0.281 0.207 0.177
## class_pre_cent 0.015 0.098 0.158 337.055 0.874 0.195 0.168
##
## Estimate
## Intercept~~Intercept|crse_id 59.394
## Residual~~Residual 343.494
## ICC|crse_id 0.147
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM5.1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM5.1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 14.021 2.213 6.335 1410.968 0.000 0.087 0.081
## stud_pre_grand -0.440 0.023 -18.844 19.165 0.000 2.177 0.714
## used_las 6.036 2.445 2.469 1426.050 0.014 0.086 0.081
## collabnla 3.388 3.135 1.081 306.195 0.281 0.207 0.177
## class_pre_cent -0.424 0.099 -4.270 285.200 0.000 0.216 0.183
##
## Estimate
## Intercept~~Intercept|crse_id 59.394
## Residual~~Residual 343.494
## ICC|crse_id 0.147
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM5.2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM5.2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 29.869 2.393 12.481 302.391 0.000 0.208 0.178
## pre_scor -0.440 0.023 -18.844 19.165 0.000 2.177 0.714
## used_las 6.036 2.445 2.469 1426.051 0.014 0.086 0.081
## collabnla 3.388 3.135 1.081 306.195 0.281 0.207 0.177
## class_pre_cent -0.424 0.099 -4.270 285.200 0.000 0.216 0.183
##
## Estimate
## Intercept~~Intercept|crse_id 59.394
## Residual~~Residual 343.494
## ICC|crse_id 0.147
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM6, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM6, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 12.932 2.122 6.093 2448.080 0.000 0.065 0.061
## stud_pre_cent 0.426 0.025 16.876 33.600 0.000 1.073 0.544
## used_las 7.091 2.405 2.948 636.817 0.003 0.135 0.122
## collabnla 3.493 3.032 1.152 279.923 0.250 0.218 0.185
## class_pre_cent 0.060 0.096 0.623 218.282 0.534 0.255 0.210
##
## Estimate
## Intercept~~Intercept|crse_id 59.644
## Intercept~~stud_pre_cent|crse_id 0.455
## stud_pre_cent~~stud_pre_cent|crse_id 0.009
## Residual~~Residual 340.323
## ICC|crse_id 0.149
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM6.1, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM6.1, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 13.281 2.132 6.229 1958.181 0.000 0.073 0.069
## stud_pre_grand -0.426 0.025 -16.876 33.600 0.000 1.073 0.544
## used_las 7.091 2.405 2.948 636.863 0.003 0.135 0.122
## collabnla 3.493 3.032 1.152 279.921 0.250 0.218 0.185
## class_pre_cent -0.366 0.097 -3.770 277.193 0.000 0.220 0.186
##
## Estimate
## Intercept~~Intercept|crse_id 59.645
## Intercept~~stud_pre_cent|crse_id 0.455
## stud_pre_cent~~stud_pre_cent|crse_id 0.009
## Residual~~Residual 340.323
## ICC|crse_id 0.149
##
## Unadjusted hypothesis test as appropriate in larger samples.testEstimates(HLM6.2, var.comp=TRUE)##
## Call:
##
## testEstimates(model = HLM6.2, var.comp = TRUE)
##
## Final parameter estimates and inferences obtained from 10 imputed data sets.
##
## Estimate Std.Error t.value df P(>|t|) RIV FMI
## (Intercept) 28.620 2.319 12.343 1187.049 0.000 0.095 0.089
## pre_scor -0.426 0.025 -16.876 33.600 0.000 1.073 0.544
## used_las 7.091 2.405 2.948 636.843 0.003 0.135 0.122
## collabnla 3.493 3.032 1.152 279.912 0.250 0.218 0.185
## class_pre_cent -0.366 0.097 -3.770 277.173 0.000 0.220 0.186
##
## Estimate
## Intercept~~Intercept|crse_id 59.645
## Intercept~~stud_pre_cent|crse_id 0.455
## stud_pre_cent~~stud_pre_cent|crse_id 0.009
## Residual~~Residual 340.323
## ICC|crse_id 0.149
##
## Unadjusted hypothesis test as appropriate in larger samples.This gets the citations for the important packages
citation(package = "hmi")##
## To cite package 'hmi' in publications use:
##
## Matthias Speidel, Joerg Drechsler and Shahab Jolani (2018). hmi:
## Hierarchical Multiple Imputation. R package version 0.9.13.
## https://CRAN.R-project.org/package=hmi
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {hmi: Hierarchical Multiple Imputation},
## author = {Matthias Speidel and Joerg Drechsler and Shahab Jolani},
## year = {2018},
## note = {R package version 0.9.13},
## url = {https://CRAN.R-project.org/package=hmi},
## }citation(package = "mitml")##
## To cite package 'mitml' in publications use:
##
## Simon Grund, Alexander Robitzsch and Oliver Luedtke (2018).
## mitml: Tools for Multiple Imputation in Multilevel Modeling. R
## package version 0.3-6. https://CRAN.R-project.org/package=mitml
##
## A BibTeX entry for LaTeX users is
##
## @Manual{,
## title = {mitml: Tools for Multiple Imputation in Multilevel Modeling},
## author = {Simon Grund and Alexander Robitzsch and Oliver Luedtke},
## year = {2018},
## note = {R package version 0.3-6},
## url = {https://CRAN.R-project.org/package=mitml},
## }
##
## ATTENTION: This citation information has been auto-generated from
## the package DESCRIPTION file and may need manual editing, see
## 'help("citation")'.citation(package = "lme4")##
## To cite lme4 in publications use:
##
## Douglas Bates, Martin Maechler, Ben Bolker, Steve Walker (2015).
## Fitting Linear Mixed-Effects Models Using lme4. Journal of
## Statistical Software, 67(1), 1-48. doi:10.18637/jss.v067.i01.
##
## A BibTeX entry for LaTeX users is
##
## @Article{,
## title = {Fitting Linear Mixed-Effects Models Using {lme4}},
## author = {Douglas Bates and Martin M{\"a}chler and Ben Bolker and Steve Walker},
## journal = {Journal of Statistical Software},
## year = {2015},
## volume = {67},
## number = {1},
## pages = {1--48},
## doi = {10.18637/jss.v067.i01},
## }